Cady Research Group

Cady Research Group

Professor Nate Cady's Research Group
Cady Lab Members (left to right): Evan Iler, Sarah Rafiq, Natalya Tokranova, Mehek Ahmed, Karsten Beckmann, Eunice Chou, Tristen Head, Max Liehr, Nate Cady, Jubin Hazra, Minhaz Abedin

Our laboratory focuses on the unique interface between nanotechnology and biology. Research in our group falls into the following two general categories:

Approaching nanotechnology from the biological world
Nanoscale innovations and technologies from the biological world are harnessed to manipulate and control materials at the nanoscale.  Drawing knowledge from biological systems enables unique approaches to nanotechnological design, engineering, processing and manufacturing.

Approaching biology from the nanoscale
Nanoscale phenomena, technologies or processes are used to study biology at its fundamental level – the nanoscale.  Similarly, nanoscale devices, materials, or phenomena can be harnessed for therapeutics, diagnostics, medicine, pharmaceuticals, and many other biological applications.

Please take the time to browse our current research projects, our facilities, and the people involved in our research program.

Cady Research Group
Nathaniel C. Cady
Ph.D
4405 NanoFab East

257 Fuller Road
Albany, NY 12203
United States

Email
[email protected]
Phone
518-956-7354

Projects

Scope

The Cady group focuses on the unique interface between nanotechnology and biology. Research in our group falls into the following two general categories:

  • Approaching nanotechnology from the biological world
    Nanoscale innovations and technologies from the biological world are harnessed to manipulate and control materials at the nanoscale or inspire unique electrical devices and circuits. Drawing knowledge from biological systems enables unique approaches to nanotechnological design, engineering, processing and manufacturing.
  • Approaching biology from the nanoscale 
    Nanoscale phenomena, technologies or processes are used to study biology at its fundamental level – the nanoscale. Similarly, nanoscale devices, materials, or phenomena can be harnessed for therapeutics, diagnostics, medicine, pharmaceuticals, and many other biological applications.
Resistive Memory Devices (Memristors) for Neuromorphic, AI, and Rad-Hard Applications
About

We have established an ongoing research program on resistive memory devices (aka: memristors). These metal-insulator-metal (MIM) devices behave similarly to neural synapses, as their “memory state” depends on the current and voltage history of the device. This is a good example of bioinspired/ biomimetic research, since the biological process of synapse formation is mimicked by a physical, electronic device. We have previously developed memristors as both non-volatile memory (NVM) elements, as well as devices to control the reconfigurability of CMOS circuits (for encryption applications). Our current work (supported by the Air Force Research Laboratory / AFRL) is focused on integrating memristors with CMOS circuits for neuromorphic computing applications, in collaboration with faculty at the University of Tennessee – Knoxville (Profs. Garrett Rose, James Plank, and Mark Dean). In this work, memristors serve as “synapses”, literally encoding the synaptic weight between neural connections in the circuits. To date we have developed a full 65nm CMOS/memristor hybrid chip design and are in the process of fabricating these devices in the SUNY Poly 300mm fabrication facility. This work will greatly expand our ability to demonstrate fully hybrid CMOS/memristor circuits, and will be a launching pad for follow-on projects.

In addition to developing memristors for neuromorphic applications, we are also working on memristors for radiation hardened (rad hard) applications, with a specific focus on tantalum oxide based devices. This work has been supported by NASA, through their graduate research fellowship program (which funds my graduate student, Joshua Holt). Our work in this area has enabled partnerships with Dr. Jean Yang-Scharlotta (Jet Propulsion Laboratory), and Dr. Matthew Marinella at Sandia National Labs. It also represents a novel area of research for my group, particularly in the realm of radiation testing/exposure for nanoelectronic devices. As part of this effort, we have developed resistive memory devices that are resistant to all but the most extreme radiation environments, which should be of interest for space exploration and other rad-hard applications.

Beyond the projects mentioned above, we have ongoing efforts to characterize the switching mechanism of our devices, to better enable modeling and simulation of memristors in complex circuits. We are also investigating methods (both fabrication methods and testing methods) that reduce the stochastic nature of memristor device performance. This will improve reliability of these devices and make the amenable to larger scale integration with complex CMOS circuits, processors, etc.

In 2018 we secured funding from the Semiconductor Research Corporation (SRC), NSF, and continued funding from the AFRL, all of which will support our ongoing program in resistive memory and neuromorphic applications.

Layout of the “mrDANNA” CMOS-memristor neuromorphic chip designed in conjunction with UT-Knoxville and currently being fabricated by SUNY Poly

 

Figure 1: Layout of the “mrDANNA” CMOS-memristor neuromorphic chip designed in conjunction with UT-Knoxville and currently being fabricated by SUNY Poly.

 

 

Cross-section of a hybrid CMOS-memristor 1T1R circuit fabricated in Prof. Cady’s group at SUNY Poly

Figure 2: Cross-section of a hybrid CMOS-memristor 1T1R circuit fabricated in Prof. Cady’s group at SUNY Poly.

 

 

 

Atomic displacements within a TaOx-based RRAM device

Figure 3: Atomic displacements within a TaOx-based RRAM device due to bombardment with Ar+ ions.  White lines indicate the paths of Ar+ ions through the device structure, while colored regions represent atomic displacements, with each color corresponding to a different device layer.

 

 

Recent Publications
  • M. Uddin, M.B. Majumder, K. Beckmann*, H. Manem*, Z. Alamgir*, N.C. Cady, G.S. Rose. Design considerations for memristive crossbar physical unclonable functions. (2018) ACM Journal on Emerging Technologies in Computing Systems. 14(1), 2.
  • N.C. Cady, K. Beckmann, W. Olin-Ammentorp*, J.E. Van Nostrand, G. Chakma, R. Weiss, S. Sayyaparaju, M. Adnan, J. Murray, M.E. Dean, J.S. Plank, G.S. Rose. Full CMOS-Memristor Implementation of a Dynamic Neuromorphic Architecture. GOMACTECH Conference, Miami, FL. March 2018.
  • K. Beckmann, J. Holt, W. Olin-Ammentorp, Z. Alamgir, J. Van Nostrand, N.C. Cady. The effect of reactive ion etch (RIE) process conditions on ReRAM device performance. (2017) Semiconductor Science and Technology. 32: 095013
  • Z. Alamgir, J. Holt, K. Beckmann, N.C. Cady. The effect of different oxygen exchange layers in TaOx based RRAM devices. (2017) Semiconductor Science & Technology. 33: 015014
  • M. Uddin, M.B. Majumder, K. Beckmann, H. Manem, Z. Alamgir, N.C. Cady, G.S. Rose. Design considerations for memristive crossbar physical unclonable functions. (2017) ACM Journal on Emerging Technologies in Computing Systems. 14(1), 2.
  • Z. Alamgir, K. Beckmann, J. Holt, N.C. Cady. Pulse width and height modulation for multi-level resistance in bi-layer TaOx based RRAM. Applied Physics Letters. (2017) 111: 063111 DOI: http://dx.doi.org/10.1063/1.4993058
  • J.S. Plank, G.S. Rose, M. E. Dean, C.D. Schuman, N.C. Cady. A Unified Hardware/Software Co-Design Framework for Neuromorphic Computing Devices and Applications. ICRC: IEEE International Conference on Rebooting Computing. November 2017, Washington, DC.
  • S. Amer, S. Sayyaparaju, K. Beckmann, N.C. Cady, G.S. Rose. A Practical Hafnium-Oxide Memristor Model Suitable for Circuit Design and Simulation. ISCAS: International Symposium on Circuits and Systems. May 2017, Baltimore, MD.
  • S. Amer, G.S. Rose, K. Beckmann, N.C. Cady. Design Techniques for in-Field Memristor Forming Circuits. 60th IEEE International Midwest Symposium on Circuits and Systems. August 2017, Boston, MA.
  • K. Beckmann, J. Holt, W. Olin-Ammentorp, J. Van Nostrand, N.C. Cady. Impact of etch process on hafnium dioxide based nanoscale RRAM devices. (2016) ECS Transactions. 75(13): 93-99.
  • K. Beckmann, J. Holt, H. Manem, J. Van Nostrand, N.C. Cady. Nanoscale hafnium oxide RRAM devices exhibit pulse dependent behavior and multi-level resistance capability. (2016) MRS Advances. 1(49): 3355-3360. DOI: http://dx.doi.org/10.1557/adv.2016.377
  • M. Uddin, M.B. Majumder, G.S. Rose, K. Beckmann, H. Manem, Z. Alamgir, N.C. Cady. Techniques for Improved Reliability in Memristive Crossbar PUF Circuits. 2016 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Pittsburgh, PA, pp. 212-217. doi: 10.1109/ISVLSI.2016.33
  • G. Chakma, M.E. Dean, G.S. Rose, K. Beckman, H. Manem, N. Cady, A Hafnium-Oxide Memristive Dynamic Adaptive Neural Network Array. International Workshop on Post-Moore's Era Supercomputing (PMES), Salt Lake City, UT, November 2016.
  • Z. Alamgir, K. Beckmann, N.C. Cady, A. Velasquez, S.K. Jha. Flow-based computing on nanoscale crossbars: design and implementation of full adders. International Symposium on Circuits and Systems (ISCAS) Conference, May 2016, Montreal, Canada.
  • N.C. Cady, K. Beckmann, H. Manem, M.E. Dean, G.S. Rose, J.E. Van Nostrand. Towards Memristive Dynamic Adaptive Neural Network Arrays. GOMACTEC Conference, March 2016, Orlando, FL.
Biosensors & Microfluidics
About

In 2018 our group has expanded our work on biosensors, primarily for the diagnosis of Lyme disease, which is caused by bites from ticks infected with the bacterium Borrelia burgdorferi. Diagnosis of this infection is currently expensive, time consuming, and non-quantitative. Working with our partners at Ciencia Inc. and the NYS Dept. of Health, we are developing a Lyme disease assay and platform that is based on grating coupled surface plasmon resonance (GC-SPR). We use GC-SPR in a unique format, namely grating-coupled fluorescent plasmonics (GC-FP mode). To date, we have demonstrated that this platform can detect a serological response to Lyme disease in mice. We have also been able to positively detect Lyme infection in human serum samples (as compared to gold-standard testing methods, such as ELISA and Western blot analysis). An example of how the system operates, and some sample results are shown in Figure 3, below.

In addition to working on assay development, we have also partnered with collaborators from the Unive. At Buffalo to model the plasmonic effects on our GC-SPR chips, and have published work on grating-coupled plasmonics for photocatalysis (with our partners at Ciencia Inc.).

Beyond sensor-specific research, we are also working with the AIM Photonics program at SUNY Poly and collaborators at the Univ. of Rochester to develop microfluidic modules for silicon-photonic biosensors. Most of our efforts have been focused on high volume manufacturing compatible processes, including hot embossing. Working with our collaborators, we have shown that we can fabricate cyclic olefin-based polymers, such as TOPAS™ (Figure 4).

The principle of grating-coupled surface plasmon resonance (GC-SPR) for biosensing. B) An example of a GC-SPR chip is shown, with a 20x20 array of proteins (400 total). C) The image shown is of a GC-SPR chip exposed to blood serum from a mouse infected with Lyme disease. White spots show a positive detection of antibodies against Lyme disease in a mouse.

Figure 3: The principle of grating-coupled surface plasmon resonance (GC-SPR) for biosensing. B) An example of a GC-SPR chip is shown, with a 20x20 array of proteins (400 total). C) The image shown is of a GC-SPR chip exposed to blood serum from a mouse infected with Lyme disease. White spots show a positive detection of antibodies against Lyme disease in a mouse.

Microfluidic components for silicon-photonic biosensor chips.

Figure 4: Microfluidic components for silicon-photonic biosensor chips. These components were fabricated using a hot embossing method, using cyclic olefin based polymers (eg. TOPAS). Embossed components were high fidelity replicas of the original silicon-based molds.

Recent Publications
  • E. Chou, Y-P. Lin, N.C. Cady. Recent strategies for the diagnosis of early Lyme disease. (2018) Science Progress. 101(4): 311-331.
  • J.F. Drazan, O.T. Abdoun, M.T. Wassick, R. Dahle, L.A. Beardslee, G.A. Marcus, N.C. Cady, E.H. Ledet. Simple Implantable Wireless Sensor Platform to Measure Pressure and Force. (2018) Medical Engineering & Physics. 59: 81-87.
  • L. Shen, G.N. Gibson, N. Poudel, B. Hou, J. Chen, H. Shi, E. Guignon, N.C. Cady, W. Page, A. Pilar, S.B. Cronin. Plasmon Resonant Amplification of Hot Electron-Driven Photocatalysis. (2018) Applied Physics Letters. 113(11): 113104.
  • B.P. Garreffi, M. Guo, N. Tokranova, N.C. Cady, J. Castracane, I.A. Levitsky. Highly Sensitive and Selective Fluorescence Sensor Based on Nanoporous Silicon-Quinoline Composite for Trace Detection of Hydrogen Peroxide Vapors. (2018) Sensors and Actuators B: Chemical. 276: 466-471.
  • E. Chou, G. Zenteno, B. Taubner, A. Pilar, E. Guignon, W. Page, Y-P. Lin, N.C. Cady. Grating coupled-surface plasmon resonance and fluorescent plasmonics biosensor for diagnosis of Lyme disease. Proceedings of the SPIE. March 2018, Miami, FL.
  • V. Sukhotskiy, N.C. Cady, E. Chou, I.V.A.K. Reddy, E.P. Furlani. Numerical modeling of a sinusoidal grating-based surface plasmon coupled emission biosensor. Nanotech 2018. Anaheim, CA.
  • S. Nallanthighal, C. Chan, A.P. Mosier, N.C. Cady, R. Reliene. Differential effects of silver nanoparticles on DNA damage and DNA repair gene modulation in Ogg1 deficient and wildtype mice. (2017) Nanotoxicology. 11(8): 996-1011
  • M.K. Dion, J.F. Drazan, S. Giddings, N.C. Cady, R. Dahle, J.T. Roberts, E.H. Ledet. Smart Orthopaedic Implants: Application in Total Knee Arthroplasty. (2016) American Journal of Engineering and Applied Sciences. 9(4):1232-38.
  • A. Mendoza, D.M. Torrisi, S. Sell, N.C. Cady, D.A. Lawrence. Grating coupled SPR microarray analysis of proteins and cells in blood from mice with breast cancer. (2016) Analyst. 141: 704-712.
Antifouling and Biofilms
About

Microbial fouling of surfaces and subsequent formation of biofilms is a major problem in medicine, industrial processes, and infrastructure. To combat fouling and biofilm formation, we are pursuing methods to limit bacterial attachment to surfaces and interrupt biofilm formation (or disrupt established biofilms). For example, we have developed 3D nanomanufacturing strategies to create nanoscale topographical features that can be used to limit the attachment of bacterial cells to stationary surfaces. Our work has shown that topography in the 0.5 – 1 micrometer size scale is effective in reducing bacterial adhesion to surfaces, and that larger scale topography can increase surface attachment (as compared to flat reference surfaces).

Topographically patterned surfaces used for antifouling experiments in the Cady group

Figure 5: Topographically patterned surfaces used for antifouling experiments in the Cady group (NanoLIFE, 2012).

We are also working with collaborators (including Prof. Rabi Musah, UAlbany – Dept. of Chemistry) to develop molecular antagonists of biofilm formation and methods of delivering these antagonists for prophylactic or therapeutic treatment against biofilms. Our initial work in this area has focused on the inhibition of bacterial biofilm formation by a library of natural products inspired compounds. Prof. Musah’s group has developed these compounds, which we have shown to have efficacy against Pseudomonas aeruginosa biofilm formation. Interestingly, we also showed that these compounds are effective in reducing cell signaling (quorum sensing) behavior of P. aeruginosa. We recently demonstrated that one of our lead compounds (S-aryl cysteine sulfoxide) directly inhibits the enzyme kynureninase, which is linked to multiple pathways including those for quorum sensing autoinducer synthesis and various other virulence factors.

In addition to preventing biofouling and mitigating biofilm formation, we are also interested in developing methods to characterize biofilms and to utilize intact biofilms for various applications. To this end we have developed combined microfluidic / atomic force microscopy (AFM) based platforms to measure the mechanical properties of biofilms under varying fluidic conditions. We are also developing platforms to utilize biofilms for the treatment of metal-contaminated wastewater.

Confocal micrographs of P. aeruginosa biofilms inhibited by natural products inspired compounds

Confocal micrographs of P. aeruginosa biofilms inhibited by natural products inspired compounds (Pos One, 2012).

Related Recent Publications
  • S.H. Kasper, R. Hart, M. Bergkvist, R.A. Musah, N.C. Cady. Zein nanocapsules as a tool for surface passivation, drug delivery, and biofilm prevention. (2016) AIMS Microbiology. 2(4): 422-433.
  • S.H. Kasper, R.P. Bonocora, J.T. Wade, R.A. Musah, N.C. Cady. Chemical inhibition of kynureninase reduces Pseudomonas aeruginosa quorum sensing and virulence factor expression. (2016) ACS Chemical Biology. 11(4): 1106-1117.
  • M. Craven, S. Kasper, M. Canfield, R. Diaz-Morales, J. Hrabie, Joseph; N. Cady, A. Strickland. Nitric Oxide-Releasing Polyacrylonitrile Disperses Biofilms Formed by Wound-Relevant Pathogenic Bacteria. (2016) Journal of Applied Microbiology. 120(4): 1085-99.
  • S. Kasper, D. Samarian, A. Jadhav, A. Rickard, R. Musah, N.C. Cady. S-Aryl-L-Cysteine Sulfoxides and Related Organosulfur Compounds Alter Oral Biofilm Development and AI-2 Based Cell-Cell Communication. (2014) Journal of Applied Microbiology. 117(5): 1472-86.
  • A.P. Mosier, J. Behnke, E.T. Jin, N.C. Cady.  Microbial biofilms for the removal of Cu2+ from CMP wastewater.  Submitted to the Journal of Environmental Management, October 1, 2014.
  • A.P. Mosier, S. Peters, M. Larsen, and N.C. Cady.  Microfluidic platform for the characterization of mouse submandibular glands by atomic force microscopy. (2014) Biosensors. 4(1): 18-27.
  • M.V. Graham, N.C. Cady.  Nano and microscale topographies for the prevention of bacterial surface fouling.  (2014) Coatings. 4(1): 37-59.
  • M.V. Graham, A.P. Mosier, T.R. Kiehl, A.E. Kaloyeros, N.C. Cady.  Development of antifouling surfaces to reduce bacterial attachment.  (2013) Soft Matter. 9: 6235-6244.
  • N.C. Cady, J. Behnke, R. Kubec, K. McKean, and R.A. Musah. Inhibition of Biofilm Formation, Quorum Sensing and Infection in Pseudomonas aeruginosa by Natural Products-Inspired Organosulfur Compounds. (2012) PLoS One. 7(6): e38492.
  • J.F. Ling, M.V. Graham, N.C. Cady. Topographically patterned poly(dimethylsiloxane) surfaces affect Pseudomonas aeruginosa adhesion and biofilm formation. (2012) Nano LIFE. 2(4): 1242004.
  • A.P. Mosier, A.E. Kaloyeros, N.C. Cady. A novel microfluidic device for the in situ optical and mechanical analysis of bacterial biofilms. (2012) Journal of Microbiological Methods. 91: 198-204.

Publications and Patents

Publications (since 2015)

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2022
  • M.C. Sullivan, Z.R. Robinson, K. Beckmann, A. Powell, T. Mburu, K. Pittman, N. Cady. Threshold switching stabilization of NbO2 films via nanoscale devices. (2022) Journal of Vacuum Science & Technology B. 40, 063202. https://doi.org/10.1116/6.0002129
  • J. Hutchins, S. Alam, A. Zeumault, K. Beckmann, N. Cady, G. Rose, A. Aziz. A Generalized Workflow for Creating Machine Learning-Powered Compact Models for Multi-state Devices. IEEE Access (online publication) https://doi.org/10.1109/ACCESS.2022.3218333
  • G. Krishnan, Z. Wang, L. Yang, J. Meng, M. Liehr, R.V. Joshi, N.C. Cady, D. Fan, J-S. Seo, Y. Cao. Hybrid RRAM/SRAM in-Memory Computing for Robust DNN Acceleration (2022) IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 41(11): 4241-4252. https://doi.org/10.1109/TCAD.2022.3197516
  • M. Abedin, A. Roohi, M. Liehr, N. Cady, S. Angizi, MR-PIPA: An Integrated Multi-level RRAM (HfOx) based Processing-In-Pixel Accelerator. (2022) IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. Online Publication https://doi.org/10.1109/JXCDC.2022.3210509
  • N. Tokranova, N. Cady, A. Lampher and I. A. Levitsky. Highly Sensitive Fentanyl Detection Based on Nanoporous Electrochemical Immunosensors. (2022) IEEE Sensors Journal. Online Publication. 22(21): 20165-20170.  https://doi.org/10.1109/JSEN.2022.3200591
  • B. Taubner, A. Gibbons, N.C. Cady. Dual detection of COVID-19 antigens and antibodies using nanoscale fluorescent plasmonic substrates. (2022) Experimental Biology and Medicine. Online publication. https://doi.org/10.1177/15353702221113860
  • B.L. Miller, A.M. Klose, M.R. Bryan, J.S. Cognetti, D.J. Steiner, N.Tokranova, B. Piorek, N. Judy, M. Abedin, E. Young, C. Meinhart, R. Jakubowicz, H. Warren, N.C. Cady. (2022) Strategies for the development of photonic sensors for COVID-19. Proceedings of SPIE 11951, Design and Quality for Biomedical Technologies XV. 1195104. https://doi.org/10.1117/12.2616682
  • R. Ume, H. Gong, V. Tokranov, M. Yakimov, K. Brew, G. Cohen, C. Lavoie, S. Schujman, J. Liu, A.I. Frenkel, K. Beckmann, N. Cady, S. Oktyabrsky. Electrical and structural properties of binary Ga–Sb phase change memory alloys. (2022) Journal of Applied Physics. 132, 035103 https://doi.org/10.1063/5.0096022
  • S. Rafiq, M. Abedin, K. Beckmann and N. C. Cady, Detecting Temporal Correlation on HfO2 Based RRAM on 65nm CMOS Technology. (2022) 2022 IEEE 31st Microelectronics Design & Test Symposium (MDTS) p. 1-6, https://doi.org/10.1109/MDTS54894.2022.9826965.
  • M. Liehr, K. Beckmann, N. Cady. Impact of Switching Variability, Memory Window, and Temperature on Vector Matrix Operations Using 65nm CMOS Integrated Hafnium Dioxide-based ReRAM Devices. (2022) IEEE 31st Microelectronics Design & Test Symposium (MDTS), 2022. https://doi.org/10.1109/MDTS54894.2022.9826924
  • G. Krishnan, L. Yang, J. Sun, J. Hazra, X. Du, M. Liehr, Z. Li, K. Beckmann, R. Joshi, N.C. Cady, D. Fan, Y. Cao. Exploring Model Stability of Deep Neural Networks for Reliable RRAM-based In-Memory Acceleration. (2022) IEEE Transactions on Computers, https://doi.org/10.1109/TC.2022.3174585
  • T. Head, N.C. Cady. Monitoring and modulation of the tumor microenvironment for enhanced cancer modeling. (2022) Journal of Experimental Biology and Medicine. 247(7): 598-613. https://doi.org/10.1177/15353702221074293
  • E.H. Ledet, S.M. Caparaso, K.P. Cole , M. Stout, B. Liddle, N.C. Cady, M.T. Archdeacon. Smart Fracture Plate for Quantifying Fracture Healing: Preliminary Efficacy in a Biomechanical Model. (2022) Journal of Orthopaedic Research. 40: 2414-2420. https://doi.org/10.1002/jor.25254
2021
  • J.N. Rosenberg, N.C. Cady. Surveilling cellular vital signs: toward label-free biosensors and real-time viability assays for bioprocessing. (2021) Current Opinion in Biotechnology. 71: 123-129. https://doi.org/10.1016/j.copbio.2021.07.004
  • M. Abedin, M. Liehr, K. Beckmann, J. Hazra, S. Rafiq, N. C. Cady. In-memory Computation of Error-Correcting Codes Using a Reconfigurable HfOx ReRAM 1T1R Array. (2021) 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS). p. 593-598, doi: https://doi.org/10.1109/MWSCAS47672.2021.9531717
  • A. Joseph, J. Wu, K. Yu, L. Jiang, N. Cady, B. Si, Function-on-Function Regression for Trajectory Prediction of Small-Scale Particles towards Next-generation Neuromorphic Computing. (2021) 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE). p.1997-2002. doi: 10.1109/CASE49439.2021.9551532
  • B. Taubner, R. Peredo-Wende, A. Ramani, G. Singh, K. Strle, N.C. Cady. Rapid and Quantitative Detection of Human Antibodies Against the 2019 Novel Coronavirus SARS CoV2 and its Variants as a Result of Vaccination and Infection. (2021) Microbiology Spectrum. 9(2):  e00890-21. https://doi.org/10.1128/Spectrum.00890-21
  • T. Head, N. Tokranova, N.C. Cady. Micro-nozzle Integration for Controlled Drug Delivery via a Microfluidic Imaging Window. (2021) MRS Communications.  Online publication https://doi.org/10.1557/s43579-021-00078-0
  • J.S. Cognetti, D.J. Steiner, M. Abedin, M.R. Bryan, C. Shanahan, N. Tokranova, E. Young, A.M. Klose, A. Zavriyev, N. Judy, B. Piorek, C. Meinhart, R. Jakubowicz, H. Warren, N.C. Cady, B.L. Miller. Disposable photonics for cost-effective clinical bioassays: application to COVID-19 antibody testing. (2021) Lab on a Chip. 21: 2913-2921 https://doi.org/10.1039/D1LC00369K
  • G. Krishnan, J. Sun, J. Hazra, X. Du, M. Liehr, Z. Li, K. Beckmann, R. Joshi, N. Cady, Y. Cao. Robust RRAM-based In-Memory Computing in Light of Model Stability. (2021) 2021 IEEE International Reliability Physics Symposium (IRPS), 2021. p. 1-5, doi: 10.1109/IRPS46558.2021.9405092
  • R. Ume, H. Gong, V. Tokranov, M. Yakimov, D. Sadana, K. Brew, G. Cohen, C. Lavoie, S. Schujman, K. Beckmann, N. Cady, S. Oktyabrsky. Crystallization Properties of Al-Sb Alloys for Phase Change Memory Applications. (2021). ECS Journal of Solid State Science and Technology. 10(7): 075008. https://iopscience.iop.org/article/10.1149/2162-8777/ac14dd/meta
  • G. Krishnan, J. Hazra, M. Liehr, X. Du, K. Beckmann, R. Joshi, N. Cady,  Y. Cao. Design Limits of In-Memory Computing: Beyond the Crossbar. (2021) 2021 5th IEEE Electron Devices Technology & Manufacturing Conference (EDTM). pp. 1-3. doi: 10.1109/EDTM50988.2021.9421057
  • H. Gong, R. Ume, V. Tokranov, M. Yakimov, D. Sadana, K. Brew, G. Cohen, S. Schujman, K. Beckmann, N. Cady, S. Oktyabrsky. Bilayer Ga-Sb Phase Change Memory with Intermediate Resistance State. (2021) 2021 Device Research Conference (DRC). 1-2. https://ieeexplore.ieee.org/abstract/document/9467153
  • V. Mukundan, S. Consiglio, D.H. Triyoso, K. Tapily, M.E. McBriarty, S. Schujman, K. Beckmann, J. Hazra, V. Kaushik, N. Cady, R.D. Clark, G.J. Leusink, A.C. Diebold, Ferroelectric Phase Content in 7 nm Hf(1‐x)ZrxO2 Thin Films Determined by X‐ray based Methods. (2021) Physica Status Solidi A – Applications and Materials Science. 218(10): 2100024 https://doi.org/10.1002/pssa.202100024
  • J. Hazra, M. Liehr, K. Beckmann, M. Abedin, S. Rafiq, N.C. Cady. Optimization of Switching Metrics for CMOS Integrated HfO2 based Bipolar RRAM Devices on 300 mm Wafer Platform. (2021) IEEE International Memory Workshop (IMW) 2021. 1-4. DOI: 10.1109/IMW51353.2021.9439618   
  • E. Chou, A. Minor, N.C. Cady. Quantitative multiplexed strategies for human Lyme disease serological testing. (2021) Experimental Biology and Medicine. (2021). Journal of Experimental Biology & Medicine. 246(12) 1388-1399. https://doi:10.1177/15353702211003496S
  • Rafiq, J. Hazra, M. Liehr, K. Beckmann, M. Abedin, J.S. Pannu, S.K. Jha, N.C. Cady. Investigation of ReRAM variability on flow-based edge detection computing using HfO2-based ReRAM arrays. (2021) IEEE Transactions on Circuits and Systems. https://doi.org/10.1109/TCSI.2021.3072210
  • I. Aravind, Y. Wang, Z. Cai, L. Shen, B. Zhao, S. Yang, Y. Wang, J.M. Dawlaty, G.N. Gibson, E. Guignon, N.C. Cady, W.D. Page, A. Pilar, S.B. Cronin. Hot Electron Plasmon-Resonant Grating Structures for Enhanced Photochemistry: A Theoretical Study. (2021) Crystals. 11:118. https://doi.org/10.3390/cryst11020118  
  • N.C. Cady, N. Tokranova, A. Minor, N. Nikvand, K. Strle, W.T. Lee, W. Page, E. Guignon, A. Pilar, and G.N. Gibson. Multiplexed Detection and Quantification of Human Antibody Response to COVID-19 Infection Using a Plasmon Enhanced Biosensor Platform. (2021) Biosensors & Bioelectronics. 171:112679. https://doi.org/10.1016/j.bios.2020.112679
  • W. Olin-Ammentorp, K. Beckmann, C.D. Schuman, J.S. Plank, N.C. Cady. Stochasticity and Robustness in Spiking Neural Networks. (2021) Elsevier Journal of Neural Networks. 419:1. https://doi.org/10.1016/j.neucom.2020.07.105  
  • I. Mahaboob, R.J. Reinertsen, B. McEwen, E. Rocco, K. Hogan, A.J. Melendez, N.C. Cady, F. Shahedipour-Sandvik. Boronate Probe-Based Hydrogen Peroxide Detection with an AlGaN/GaN HEMT Sensor. (2021) Journal of Experimental Biology & Medicine. 246(5): 523-528.  https://journals.sagepub.com/doi/10.1177/1535370220972030
2020
  • M. Liehr, J. Hazra, K. Beckmann, S. Rafiq and N. Cady. Impact of Switching Variability of 65nm CMOS Integrated Hafnium Dioxide-based ReRAM Devices on Distinct Level Operations (2020) 2020 IEEE International Integrated Reliability Workshop (IIRW), South Lake Tahoe, CA, pp. 1-4, https://doi.org/10.1109/IIRW49815.2020.9312855
  • J. Hazra, M. Liehr, K. Beckmann, S. Rafiq and N. Cady, Impact of Atomic Layer Deposition Co-Reactant Pulse Time on 65nm CMOS Integrated Hafnium Dioxide-based Nanoscale RRAM Devices. (2020) 2020 IEEE International Integrated Reliability Workshop (IIRW), South Lake Tahoe, CA, pp. 1-4, https://doi.org/10.1109/IIRW49815.2020.9312877
  • S. Rafiq, K. Beckmann, N.C. Cady. Simulation of Temporal Correlation Detection using HfO2-Based ReRAM Arrays. Proceedings of the IEEE Student Conference on Research and Development (SCOReD). (2020) Batu Pahat, Johor, Malaysia, 2020, pp. 1-3, https://doi.org/10.1109/SCOReD50371.2020.9250970
  • G. Charan, J. Hazra, K. Beckmann, X. Du, G. Krishnan, R.V. Joshi, N.C. Cady, Y. Cao. Accurate Inference with Inaccurate RRAM Devices: Statistical Data, Model Transfer, and On-line Adaptation. 2020 57th ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, USA, 2020, pp. 1-6, https://doi.org/10.1109/DAC18072.2020.9218605
  • E.C. Graham, N.C. Cady, N.M. Fahrenkopf. Isotropic grating coupler for 3D silicon photonic architectures. (2020) Proceedings of the SPIE - Optical Manufacturing and Testing XIII. 114870A. https://doi.org/10.1117/12.2568280  
  • A.C. Diebold, N.C. Cady. Metrology for advanced transistor and memristor devices and materials. (2020) Proceedings of the SPIE - Metrology, Inspection, and Process Control for Microlithography XXXIV, 1132502. https://doi.org/10.1117/12.2554477
  • J. S. Pannu, S. Raj, S.L. Fernandes, D. Chakraborty, S. Rafiq, N. Cady, S.K. Jha. Design and Fabrication of Flow-based Edge Detection Memristor Crossbar Circuits. (2020) IEEE Transactions on Circuits and Systems II: Express Briefs, 67(5), 961-965. https://doi.org/10.1109/TCSII.2020.2984155   
  • Y. Wang, I. Aravind, Z. Cai, L. Shen, G. Gibson, J. Chen, H. Shi, B. Wang, B. Song, E. Guignon, N. Cady, W. Page, A. Pilar, S. Cronin. Hot electron driven photocatalysis on plasmon-resonant grating nanostructures. (2020) ACS Applied Materials & Interfaces, 12(15): 17459-17465. https://doi.org/10.1021/acsami.0c00066
  • E. Chou, E. Lasek-Nesselquist, B. Taubner, A. Pilar, E. Guignon, W. Page, Y-P. Lin, N.C. Cady. A fluorescent plasmonic biochip assay for multiplex screening of diagnostic serum antibody targets in human Lyme disease. (2020) PLoS One, 0228772. https://doi.org/10.1371/journal.pone.0228772
  • K. Beckmann, W. Olin-Ammentorp, C. Gangotree, S. Amer, G. Rose, J. Van Nostrand, N.C. Cady. Towards synaptic behavior of nanoscale ReRAM devices for neuromorphic computing applications. (2020)  ACM Journal on Emerging Technologies in Computing (JETC) Special Issue on New Trends in Nanoelectronic Device, Circuit and Architecture Design. 16(3): 23.  https://doi.org/10.1145/3381859
  • J. Hazra, M. Liehr, K. Beckmann, S. Rafiq, N. Cady. Improving the Memory Window/Resistance Variability Trade-Off for 65nm CMOS Integrated HfO2 Based Nanoscale RRAM Devices. (2020) IEEE International Integrated Reliability Workshop (IIRW), South Lake Tahoe, CA, USA, p1-4.  https://doi.org/10.1109/IIRW47491.2019.8989872

2019:

  • Pannu, J. S., Raj, S., Fernandes, S. L., Jha, S. K., Chakraborty, D., Rafiq, S., & Cady, N. Data-driven Approximate Edge Detection using Flow-based Computing on Memristor Crossbars. (2019) Proceedings of the 2019 IEEE Albany Nanotechnology Symposium (ANS), 1-6. https://doi.org/10.1109/ANS47466.2019.8963745
  • E. C. Graham, N. M. Fahrenkopf, N. Cady. Through Oxide Via (TOV) Induced Fabrication Stress on Directional Couplers in a Si Photonic Interposer. (2019) Proceedings of the 2019 IEEE Albany Nanotechnology Symposium (ANS), 1-4. https://doi.org/10.1109/ANS47466.2019.8963742  
  • M. Liehr, J. Hazra, K. Beckmann, W. Olin-Ammentorp, N. Cady, R. Weiss, S. Sayyaparaju, G. Rose, J. Van Nostrand. Fabrication and Performance of Hybrid ReRAM-CMOS Circuit Elements for Dynamic Neural Networks. (2019) Proceedings of the International Conference on Neuromorphic Systems (ICONS ’19). Association for Computing Machinery. 6:1–4. https://doi.org/10.1145/3354265.3354271
  • W. Olin-Ammentorp, N.C. Cady.  Training Spiking Networks via Natural Evolutionary Strategies. (2019)  Proceedings of the International Conference on Neuromorphic Systems (ICONS ’19). Association for Computing Machinery. 18:1–6. https://doi.org/10.1145/3354265.3354283
  • S. Nallanthighal, L. Tierney, N.C. Cady, S.V. Chittur, R. Reliene. Surface coatings alter transcriptional responses to silver nanoparticles following oral exposure. (2019) NanoImpact. 100205. https://doi.org/10.1016/j.impact.2019.100205
  • Holt, J.S., Z. Alamgir, K. Beckmann, N. Suguitan, S. Russell, E. Iler, H. Bakhru, E.S. Bielejec, R.B. Jacobs-Gedrim, D.R. Hughart, M.J. Marinella, J. Yang-Scharlotta, N.C. Cady.  Comparison of Radiation Effects in Custom- and Commercially-fabricated Resistive Memory Devices. (2019)  IEEE Transactions on Nuclear Science (TNS). 66(12): 2398-2407. https://doi.org/10.1109/TNS.2019.2950199
  • W. Olin-Ammentorp, N.C. Cady. Biologically-inspired Neuromorphic Computing. (2019) Science Progress. https://doi.org/10.1177/0036850419850394  
  • K. Beckmann, N. Suguitan, J. Van Nostrand, N.C. Cady. Interface Modification of HfO2-based ReRAM via Low Temperature Anneal. (2019) Semiconductor Science & Technology. 34: 105021. https://doi.org/10.1088/1361-6641/ab362a
  • Wang, Y., Shen, L., Hou, B., Gibson, G.N., Poudel, N., Shi, H., Guignon, E., Cady, N.C., Page, W.D., Pilar, A., Dawlaty, J., Cronin, S.B. Hot electron-driven photocatalysis and transient absorption spectroscopy in plasmon resonant grating structures. (2019) Faraday Discussions. 214: 325-339. https://doi.org/10.1039/C8FD00141Cv
  • V. Mukundan, K. Beckmann, K. Tapily, S. Consiglio, R. Clark, G. Leusink, N. Cady, A.C. Diebold. Structural Correlation of Ferroelectric Behavior in Mixed Hafnia-Zirconia High-k Dielectrics for FeRAM and NCFET Applications. (2019) MRS Advances. 4(9): 545–551. https://doi.org/10.1557/adv.2019.148
  • A. Dhall, T. Masiello, S. Gattu, M. Strohmayer, L. Butt, L.P.M. Hemachandra, S. Schujman, N. Tokranova, J. Khoury, S. Papa Rao, N. Cady, J.A. Melendez, J. Castracane.  Characterization and neutral atom beam surface modification of a clear castable polyurethane for biomicrofluidic applications. (2019) Surfaces. 2(1):100-116. https://doi.org/10.3390/surfaces2010009
  • W. Olin-Ammentorp, K. Beckmann, N.C. Cady. Cellular Memristive-Output Reservoir (CMOR). (2019)  arXiv:1906.06414 https://arxiv.org/abs/1906.06414
  • Chou, E., Pilar, A., Guignon, E., Page, W., Lin, Y.-P., N.C. Cady. Rapid and multiplexed detection of Lyme disease using a grating coupled-fluorescent plasmonics (GC-FP) biosensor platform. (2019) Proceedings Volume 10895, Frontiers in Biological Detection: From Nanosensors to Systems XI, SPIE. https://doi.org/10.1117/12.2507973
2018
  • E. Chou, Y-P. Lin, N.C. Cady. Recent strategies for the diagnosis of early Lyme disease. (2018) Science Progress. 101(4): 311-331. https://doi.org/10.3184/003685018X15360040523730
  • J.F. Drazan, O.T. Abdoun, M.T. Wassick, R. Dahle, L.A. Beardslee, G.A. Marcus, N.C. Cady, E.H. Ledet. Simple Implantable Wireless Sensor Platform to Measure Pressure and Force. (2018) Medical Engineering & Physics. 59: 81-87. https://doi.org/10.1016/j.medengphy.2018.06.006
  • L. Shen, G.N. Gibson, N. Poudel, B. Hou, J. Chen, H. Shi, E. Guignon, N.C. Cady, W. Page, A. Pilar, S.B. Cronin.  Plasmon Resonant Amplification of Hot Electron-Driven Photocatalysis. (2018) Applied Physics Letters. 113(11): 113104. https://doi.org/10.1063/1.5048582
  • B.P. Garreffi, M. Guo, N. Tokranova, N.C. Cady, J. Castracane, I.A. Levitsky. Highly Sensitive and Selective Fluorescence Sensor Based on Nanoporous Silicon-Quinoline Composite for Trace Detection of Hydrogen Peroxide Vapors. (2018) Sensors and Actuators B: Chemical. 276: 466-471. https://doi.org/10.1016/j.snb.2018.07.115
  • W.F. Hynes, J. Chacon, D. Segre, C.J. Marx, N.C. Cady, W. Harcombe. Bioprinting microbial communities to examine interspecies interactions in time and space. (2018) Biomedical Physics & Engineering Express. 4(5): 055010. https://doi.org/10.1088/2057-1976/aad544
  • S.M. Curley, N.C. Cady. Biologically derived nanomaterials for targeted delivery to the brain. (2018) Science Progress. 101(3): 273-292. https://doi.org/10.3184/003685018X15306123582346 
  • S.M. Curley, J. Castracane, M. Bergkvist, N.C. Cady. Functionalization and characterization of an MRI-capable, targeted nanoparticle platform for delivery to the brain.  (2018) MRS Advances. https://doi.org/10.1557/adv.2018.357 
  • P. Paomephan, A. Assavanig, S. Chaturongakul, N.C. Cady, M. Bergkvist, N. Niamsiri. Insight into the antibacterial property of chitosan nanoparticles against Escherichia coli and Salmonella Typhimurium and their application as vegetable wash disinfectant. (2018). Food Control. 86: 294-301.  https://doi.org/10.1016/j.foodcont.2017.09.021 
  • M. Uddin, M.B. Majumder, K. Beckmann, H. Manem, Z. Alamgir, N.C. Cady, G.S. Rose. Design considerations for memristive crossbar physical unclonable functions. (2018) ACM Journal on Emerging Technologies in Computing Systems. 14(1), 2. https://doi.org/10.1145/3094414
  • N.C. Cady, K. Beckmann, W. Olin-Ammentorp, J.E. Van Nostrand, G. Chakma, R. Weiss, S. Sayyaparaju, M. Adnan, J. Murray, M.E. Dean, J.S. Plank, G.S. Rose. Full CMOS-Memristor Implementation of a Dynamic Neuromorphic Architecture. GOMACTECH Conference, Miami, FL. March 2018. https://apps.dtic.mil/dtic/tr/fulltext/u2/1052240.pdf
  • E. Chou, G. Zenteno, B. Taubner, A. Pilar, E. Guignon, W. Page, Y-P. Lin, N.C. Cady. Grating coupled-surface plasmon resonance and fluorescent plasmonics biosensor for diagnosis of Lyme disease. (2018) Proceedings of the SPIE 10629, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XIX, 106290I. https://doi.org/10.1117/12.2303798
  • V. Sukhotskiy, N.C. Cady, E. Chou, I.V.A.K. Reddy, E.P. Furlani.  Numerical modeling of a sinusoidal grating-based surface plasmon coupled emission biosensor. (2018) Informatics, Electronics and Microsystems: TechConnect Briefs. 4: 205-208. https://briefs.techconnect.org/wp-content/volumes/TCB2018v4/pdf/487.pdf
2017
  • K. Beckmann, J. Holt, W. Olin-Ammentorp, Z. Alamgir, J. Van Nostrand, N.C. Cady.  The effect of reactive ion etch (RIE) process conditions on ReRAM device performance.  (2017) Semiconductor Science and Technology. 32: 095013 https://doi.org/10.1088/1361-6641/aa7eed
  • Z. Alamgir, J. Holt, K. Beckmann, N.C. Cady.  The effect of different oxygen exchange layers in TaOx based RRAM devices. (2017)  Semiconductor Science & Technology. 33: 015014 https://doi.org/10.1088/1361-6641/aa9a8f   
  • S. Nallanthighal, C. Chan, A.P. Mosier, N.C. Cady, R. Reliene. Differential effects of silver nanoparticles on DNA damage and DNA repair gene modulation in Ogg1 deficient and wildtype mice. (2017) Nanotoxicology. 11(8): 996-1011.  https://doi.org/10.1080/17435390.2017.1388863
  • Z. Alamgir, K. Beckmann, J. Holt, N.C. Cady. Pulse width and height modulation for multi-level resistance in bi-layer TaOx based RRAM. Applied Physics Letters. (2017) 111: 063111 http://dx.doi.org/10.1063/1.4993058
  • V. Desai, M. Mellish, S. Bennett, N.C. Cady.  Process development for high resolution Hydrogen Silsesquioxane (HSQ) patterning using commercial scanner for Extreme Ultraviolet Lithography (EUVL). (2017) Journal of Vacuum Science & Technology, B. 35: 021603. DOI: http://dx.doi.org/10.1116/1.4975797
  • J.S. Holt, K. Beckmann, Z. Alamgir, J. Yang-Scharlotta, N.C. Cady.  Effect of displacement damage on tantalum oxide resistive memory. (2017) MRS Advances. 1-7. https://doi.org/10.1557/adv.2017.422
  • C.M. Hanes, A.E. D’Amico, T. Ueyama, X. Zhang, W.F. Hynes, M.M. Barroso, N.C. Cady, M. Trebak, N. Saito, M.R. Lennartz. Golgi-associated PKC- is delivered to phagocytic cups:  Role of PI4P. (2017) Journal of Immunology. 35(2): 021603. https://doi.org/10.4049/jimmunol.1700243
  • J.S. Plank, G.S. Rose, M. E. Dean, C.D. Schuman, N.C. Cady. A Unified Hardware/Software Co-Design Framework for Neuromorphic Computing Devices and Applications. (2017) ICRC: IEEE International Conference on Rebooting Computing. November 2017, Washington, DC. https://doi.org/10.1109/ICRC.2017.8123655
  • S. Amer, S. Sayyaparaju, K. Beckmann, N.C. Cady, G.S. Rose. A Practical Hafnium-Oxide Memristor Model Suitable for Circuit Design and Simulation. (2017) ISCAS: International Symposium on Circuits and Systems. May 2017, Baltimore, MD. https://doi.org/10.1109/ISCAS.2017.8050790
  • S. Amer, G.S. Rose, K. Beckmann, N.C. Cady.  Design Techniques for in-Field Memristor Forming Circuits. 60th IEEE International Midwest Symposium on Circuits and Systems. August 2017, Boston, MA. https://doi.org/10.1109/MWSCAS.2017.8053150
2016
  • M.K. Dion, J.F. Drazan, S. Giddings, N.C. Cady, R. Dahle, J.T. Roberts, E.H. Ledet. Smart Orthopaedic Implants: Application in Total Knee Arthroplasty. (2016) American Journal of Engineering and Applied Sciences. 9(4):1232-38. https://doi.org/10.3844/ajeassp.2016.1232.1238
  • K. Beckmann, H. Manem, N.C. Cady.  Performance enhancement of a time-delay PUF design by utilizing integrated nanoscale ReRAM devices. (2016) IEEE Transactions on Emerging Topics in Computing – Security of Beyond CMOS Devices: Issues and Opportunities. 5(3): 304-316. https://doi.org/10.1109/TETC.2016.2575448
  • K. Beckmann, J. Holt, W. Olin-Ammentorp, J. Van Nostrand, N.C. Cady. Impact of etch process on hafnium dioxide based nanoscale RRAM devices. (2016) ECS Transactions. 75(13): 93-99. https://doi.org/10.1149/07513.0093ecst
  • S.H. Kasper, R. Hart, M. Bergkvist, R.A. Musah, N.C. Cady. Zein nanocapsules as a tool for surface passivation, drug delivery, and biofilm prevention. (2016)  AIMS Microbiology. 2(4): 422-433. https://doi.org/10.3934/microbiol.2016.4.422
  • V. Desai, J.G. Hartley, N.C. Cady.  Electron beam lithography patterned hydrogen silsesquioxane resist as a mandrel for self-aligned double patterning application. (2016) Journal of Vacuum Science and Technology, B.  34(6): 061601. https://doi.org/10.1116/1.4963194
  • K. Beckmann, J. Holt, H. Manem, J. Van Nostrand, N.C. Cady. Nanoscale hafnium oxide RRAM devices exhibit pulse dependent behavior and multi-level resistance capability. (2016) MRS Advances. 1(49): 3355-3360.  https://doi.org/10.1557/adv.2016.377  
  • S.H. Kasper, R.P. Bonocora, J.T. Wade, R.A. Musah, N.C. Cady. Chemical inhibition of kynureninase reduces Pseudomonas aeruginosa quorum sensing and virulence factor expression. (2016) ACS Chemical Biology. 11(4): 1106-1117.  https://doi.org/10.1021/acschembio.5b01082
  • M. Craven, S. Kasper, M. Canfield, R. Diaz-Morales, J. Hrabie, Joseph; N. Cady, A. Strickland. Nitric Oxide-Releasing Polyacrylonitrile Disperses Biofilms Formed by Wound-Relevant Pathogenic Bacteria. (2016) Journal of Applied Microbiology. 120(4): 1085-99. https://doi.org/10.1111/jam.13059  
  • A. Mendoza, D.M. Torrisi, S. Sell, N.C. Cady, D.A. Lawrence.  Grating coupled SPR microarray analysis of proteins and cells in blood from mice with breast cancer. (2016) Analyst. 141: 704-712. https://doi.org/10.1039/c5an01749a
  • M. Uddin, M.B. Majumder, G.S. Rose, K. Beckmann, H. Manem, Z. Alamgir, N.C. Cady. Techniques for Improved Reliability in Memristive Crossbar PUF Circuits. (2016) IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Pittsburgh, PA, pp. 212-217. https://doi.org/10.1109/ISVLSI.2016.33
  • W. Olin-Ammentorp, K. Beckmann, J.E. Van Nostrand, G.S. Rose, M.E. Dean, J.S. Plank, G. Chakma, N.C. Cady. Applying Memristors Towards Low-Power, Dynamic Learning for Neuromorphic Applications. GOMACTECH Conference, Reno, NV March 2017.
  • J.F. Drazan, O.T. Abdoun, M.T. Wassick, G. Marcus, R. Dahle, L.A. Beardslee, N.C. Cady, E.H. Ledet. Reducing the Effect of Parasitic Capacitance on Implantable Passive Resonant Sensors. 2016 Annual Meeting of IEEE/EMBC. Orlando, FL, August, 2016. p. 1930-1933. https://doi.org/10.1109/EMBC.2016.7591100
  • J.F. Drazan, M.T. Wassick, R. Dahle, L.A. Beardslee, N.C. Cady, E.H. Ledet. A Simple Sensing Mechanism for Wireless, Passive Pressure Sensors. 2016 Annual Meeting of IEEE/EMBC. Orlando, FL, August, 2016. p. 1890-1893. https://doi.org/10.1109/EMBC.2016.7591090
  • Z. Alamgir, K. Beckmann, N.C. Cady, A. Velasquez, S.K. Jha.  Flow-based computing on nanoscale crossbars: design and implementation of full adders. International Symposium on Circuits and Systems (ISCAS) Conference, May 2016, Montreal, Canada. p. 1870-1873. https://doi.org/10.1109/ISCAS.2016.7538936
  • N.C. Cady, K. Beckmann, H. Manem, M.E. Dean, G.S. Rose, J.E. Van Nostrand. Towards Memristive Dynamic Adaptive Neural Network Arrays. GOMACTEC Conference, March 2016, Orlando, FL.
  • J.D. Drazan, M.T. Wassick, M.K. Dion, O.T. Abdoun, L.A. Beardslee, N.C. Cady, R. Dahle, E.H. Ledet. Evaluation of a Passive Resonator-Based Force Sensor for Orthopaedic Smart Implants: Simulated In Vivo Testing. 61st Annual Meeting of the Orthopaedic Research Society, Orlando, FL. March, 2016. http://www.ors.org/Transactions/62/1795.pdf
2015
  • A.P. Mosier, J. Behnke, E.T. Jin, N.C. Cady.  Microbial biofilms for the removal of Cu2+ from CMP wastewater. (2015)  Journal of Environmental Management. 160: 67-72. https://doi.org/10.1016/j.jenvman.2015.05.016
  • K. Beckmann, J.S. Holt, N.C. Cady, J. Van Nostrand. (2015) Comparison of random telegraph noise, endurance and reliability in amorphous and crystalline hafnia-based ReRAM. IEEE International Integrated Reliability Workshop (IIRW) South Lake Tahoe, CA. p.107-110. https://doi.org/10.1109/IIRW.2015.7437079
  • J.S. Holt, N.C. Cady, J. Yang-Scharlotta. (2015) Radiation testing of tantalum oxide-based resistive memory. IEEE International Integrated Reliability Workshop (IIRW) South Lake Tahoe, CA. p. 155-158. https://doi.org/10.1109/IIRW.2015.7437091
  • Manem, H, Beckmann, K, Xu, M, Carroll, R, Geer, R, Cady, N.C. An extendable multi-purpose 3D neuromorphic fabric using nanoscale memristors. (2015) IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA), May 2015, Verona, NY. https://doi.org/10.1109/CISDA.2015.7208625
  • D.M. Kingsley, N.C. Cady, D.T. Corr. Customizable multi-well plates for high-throughput 2D and 3D laser direct-write. 41st Annual Northeast Biomedical Engineering Conference (NEBEC), April 17-19, 2015.  https://doi.org/10.1109/NEBEC.2015.7117102
  • M.K. Dion, C.P. Healey, S.L. Giddings, J.F. Drazan, J. Roberts, N.C. Cady, E.H. Ledet. Force measurement across the patellofemoral joint using a smart patellar implant following a total knee arthroplasty. 2015 41st Annual Northeast Biomedical Engineering Conference (NEBEC), Troy, NY. https://doi.org/10.1109/NEBEC.2015.7117087

 

Patents

  1. “Diagnostic photonic biosensor methods, apparatus and system.” U.S. Patent Application 63/143,452. Filing date 1/1/2021.
  2. "Methods for quantitative analysis of one or more biomarkers" N.C. Cady: U.S. Patent Application 17/368,711, Filing date 7/6/2021
  3. "Methods for qualitative and quantitative analysis of a plurality of biomarkers" N.C. Cady: U.S. Patent Application 17/367,141, Filing date 7/2/2021
  4. “Resistive random access memory device.” PCT/US2019/052339. Filing date 9/23/2019.
  5. “Selector devices for a memory cell.” U.S. patent application US20200161372A1. Filing date 11/1/2019.
  6. “Hardware based random number generator.” US Patent 8,680,906 B1, March 25, 2014.
  7. “Polymeric Micro-Cantilevers for Ultra-Low Volume Fluid and Living Cell Deposition.” US Patent 8,539,905 B2, September 24, 2013.
  8. “Ion Bombardment Synthesis of Transition Metal Oxide-Based Memory Devices.” US Patent Application, Filed August 23, 2011: US Serial No. 61/526537.
  9. “Real-time detection of microorganisms using an integrated microfluidics platform.” U.S. Patent Application Filed July 22, 2005: US 2008/0125330 A1
  10. “Diffraction-based cell detection using a micro-contact-printed antibody grating.” U.S. Patent Application Filed January 27, 2000: US 2002/0037593 A1

 

Book Chapters

  • N. Cady, “Build me a Memory.” In: Creating Life from Life: Biotechnology and Science Fiction. Rosalyn Berne, Ed. 2015. CRC Press.
  • N. Cady, T.J. Begley, M. Bergkvist, S.T. Sharfstein, A.E. Kaloyeros. Nanobiological Sensor Technologies - revised. In: Dekker Encyclopedia of Nanoscience & Nanotechnology. 2013. CRC Press.
  • N.C. Cady and A.D. Strickland. Responsible Nanotechnology: Controlling Exposure and Environmental Release via Rational Design. In: Nanobiotechnology Handbook. Yubing Xie, Ed. 2012. CRC Press.
  • N. Fahrenkopf, P.Z. Rice, N.C. Cady. Nucleic acid based biosensing. In: Nanobiomaterial Handbook. Balaji Sitharaman, Ed., 2011. CRC Press.
  • M. Bergkvist, N.C. Cady. Chemical functionalization and bioconjugation strategies for AFM cantilevers. In: Bioconjugation Protocols, 2nd Edition. Sonny Mark, Ed., 2011. Springer.
  • N. Cady. Microchip-based PCR Amplification Systems. In: Lab on a Chip Technologies and Applications. Avraham Rasooly and Keith Herold, Eds., 2009. Horizon Scientific Press.
  • N. Cady. Quantum Dot Molecular Beacons for DNA Detection. In: Methods in Molecular Biology. James W. Lee, Ed., 2009. Humana Press.
  • N. Cady, A. Gadre, A.E. Kaloyeros. Nanobiological Sensor Technologies. In: Dekker Encyclopedia of Nanoscience & Nanotechnology. 2008. CRC Press.
  • N. Cady. DNA-Based Biosensors. Encyclopedia of Sensors. 2006. American Scientific Publishers.

People

Dr. Nathan Cady

Professor Nathan Cady
Principal Investigator

Prof. Cady obtained his Ph.D. in Microbiology from Cornell University in Ithaca, NY. He is currently an Empire Innovation Professor at the College of Nanoscale Science (SUNY Poly). Prof. Cady has active research interests in the development of novel biosensor technologies, nano-bio interfaces, and biology-inspired nanoelectronics. Prof. Cady is also the Executive Director of the SUNY Applied Materials Research Institute (SAMRI - https://www.suny.edu/samri/). SAMRI is a strategic alliance between the State University of New York (SUNY) and Applied Materials, Inc. that will serve as the nucleus of research and development activities on advanced materials, devices, manufacturing, and emerging areas of science and technology.

Minhaz Abedin

Minhaz Abedin
Graduate Student

Minhaz Abedin graduated from Chittagong University of Engineering and Technology, Bangladesh, with a B.S in Electrical and Electronics Engineering. His undergraduate research focused on designing and characterizing CMOS Image Sensors. His research interest is in both nanoscale switching devices and sensors. Currently he is pursuing his master’s degree and his research includes integration of microfluidics and silicon photonic sensors for Lab On a Chip. Apart from research, he enjoys volunteering to outreach and humanitarian activities.

Karsten Bechmann

Karsten Bechmann, Ph.D.
SUNY Poly Adjunct Faculty / NYCREATES Integration Engineer

Karsten Beckmann received the B.Sc. and M.Sc. degrees in electrical engineering and information technology from the Technical University of Darmstadt, Germany, in 2011 and 2013, respectively, and the Ph.D. degree in nanoscale engineering from the Colleges of Nanoscale Science and Engineering (CNSE), University at Albany (now SUNY Polytechnic Institute). He is currently a Senior Process Integration Engineer with NY CREATES and an adjunct faculty member of SUNY Poly working on emerging memory solutions with a focus on resistive devices and selector technology. His strong background spans interdisciplinary fields combining material science, nanofabrication, and electrical engineering with a focus in electrical testing (DC, RF, and automated testing), module integration into a 65 nm technology, and materials development (ReRAM, selector, electrodes)

Dwiti Krushna Das

Dwiti Krushna Das
Graduate Student

Dwiti Krushna Das obtained his B.Sc. in Physics from UM-DAE Centre for Excellence in Basic Sciences, University of Mumbai and M.Sc. in Nanoscience and Nanotechnology from National Centre for Nanoscience and Nanotechnology, University of Mumbai. His master’s research involved electrochemical sensors for detection of neurotransmitters. Currently he is pursuing PhD working on biosensors for detection of Lyme disease. His research interest lies in the field of Biosensors, Nanosensors and Neuroengineering. He also has interests in the fields of astronomy, physics, philosophy, photography and technology.

Maximilian Liehr

Maximilian Liehr, Ph.D.
Post Doctoral Researcher

Maximilian Liehr obtained his BA and MEng from Rensselaer Polytechnic Institute in Troy, NY and his Ph. D. from SUNY Polytechnic Institute in Albany, NY. He is currently a post doc at SUNY Polytechnic Institute. Maximilian Liehr has active research interests in development of Non-volatile nanoelectronics including Resistive Random Access Memory (ReRAM) devices and neuromorphic computing.

Rajas Ravindra Mathkari

Rajas Ravindra Mathkari
Graduate Student

Rajas Mathkari obtained his BE degree from the Deogiri Institute of Engineering and Management Studies, Aurangabad, Maharashtra, India, in Mechanical Engineering. He has 4.5 years of work experience at Goodyear South Asia Pvt. Ltd in the field of focus improvement and Industrial engineering. Currently, he is a Ph.D. candidate, and his research focuses on the fabrication of tantalum oxide nonvolatile resistive random-access memory (ReRAM) devices using reactive sputtering and its electrical characterization.

Jacob Pelton

Jacob Pelton
Research Technician

Jacob Pelton received a BS in Applied Physics from Siena College located in Loudonville, NY. Recently, after graduating in 2022, he started working as a Research Technician at SUNY Polytechnic Institute in Albany, NY. He is currently expressing interest in continuing his education in fall of 2023 at SUNY Polytechnic Institute for a MS degree in nano-scale engineering.

Pramod Ravindra

Pramod Ravindra, Ph.D.
Post Doctoral Researcher

Pramod completed his PhD at the Centre for Nanoscience and Engineering, IISc Bangalore, focused on materials for photovoltaics. Pramod also has a Master's in Physics and an undergraduate degree in Electrical and Electronics Engineering from BITS Pilani, India. Prior to his current position, he worked as a Staff Engineer at Western Digital, where he focused on the reliability of 3D NAND flash memories. His research interests include non-volatile memories, beyond-CMOS devices, and materials.

Jeelka Solanki

Jeelka Solanki
Graduate Student

Jeelka graduated with a master’s degree from The Maharaja Sayajirao University of Baroda, Gujarat, India specializing in Embedded systems with hardware design and software programming in 2015. Her undergraduate research was majorly in designing a hardware based on microcontroller for bag making machine in the field of Electronics and Communications. She is currently pursuing her PhD in Nanoscale science and Engineering. With her constant interest and experience in designing hardware and software programming, she is working on designing hardware for programming RRAM devices in the packaged form building a bridge between characterization and real-world applications like Artificial Intelligence & Machine Learning. Jeelka has active research interests in the latest non-volatile memory technology namely RRAM and its in-memory computing techniques which demonstrates neuromorphic computing.

Benjamin Taubner

Benjamin Taubner
Research Technician

Benjamin Taubner graduated with a BSE and MSE with a biomedical engineering specialization from Mercer University, in Macon, GA. His research interests include diagnostic technologies, microfluidics, and biomechanics. He joined the Colleges of Nanoscale Science and Engineering in 2020, where he is currently a research technician working on a GC-FP Lyme diagnostic biosensor. He has worked on the technology’s adaptation to COVID-19, and looks forward to developing the project to its full potential.

Natalya Tokranova

Natalya Tokranova, Ph.D.
Senior Scientist

Dr. Natalya Tokranova received M.S. degree from Leningrad Electrical Engineering Institute specializing in optoelectronic devices in 1987 and her Ph. D. degree in Physics in 1996 from A. F. Ioffe Physical-Technical Institute. She worked from 1987 to 2000 in the A. F. Ioffe Physical-Technical Institute of Russian Academy of Sciences, St.-Petersburg, Russia. From 2000 she has been working in the Colleges of Nanoscale Science and Engineering, SUNY Polytechnic Institute. Dr. Tokranova has more than twenty-five years of experience in the semiconductor fabrication technology. Her expertise covers design, fabrication and characterization of silicon semiconductor and MEMS devices and various types of sensors.

Steven Wood

Steven Wood
Senior Director of Technology Applications Development

Steven has obtained a B.A. in Geology, M.S. in Electrical Engineering, J.D. (US registered patent attorney) and an Advanced LL.M. in Air and Space Law from Leiden University. Steven started his career at the New York State Science and Technology Law Center, and has previously worked as a patent examiner at the United States Patent & Trademark Office, and in technology transfer offices at the U.S. Department of Energy's Brookhaven National Laboratory, Leiden University and most recently as Associate Director of Innovation and Entrepreneurship for the SUNY Research Foundation, where he built an in-house patent practice to serve nearly 30 undergraduate and R1 doctoral degree granting institutions in the SUNY system. Since joining Dr. Cady’s NeuroPipes research group in October of 2021, Steven has participated in multiple DoD business accelerator programs, including the Fall 2021 cohort of the Hyperspace Challenge sponsored by CNM Ingenuity and AFRL NM Space Vehicles Directorate, where he led the team in winning 2nd Prize in the university cohort pitch competition, the summer 2022 cohort of the National Security Innovation Network Foundry program, and the inaugural cohort of the HUSTLE Defense Accelerator sponsored by the Griffiss Institute and the AFRL Rome Information Directorate. Steven is also an Adjunct Professor of Law at Albany Law School, the nation’s oldest independent school of law, and a contract attorney as Senior of Counsel with the Vela Wood Law Firm in Austin, TX, where he focuses his practice on IP strategy and vetting investments in technology and patent portfolios.

Zachery Woods

Zachery Woods
Graduate Student

Zachery Woods graduated from the University of Massachusetts Amherst in 2019 with a B.S in Electrical Engineering and worked for 2 years as a test engineer for Raytheon Technologies. His current research is developing logic function applications using Resistive Random Access Memory (ReRAM) devices.

Undergraduate Students (current)
  • William Grice
  • Daniel Titcombe
Former Graduate Students (graduated)
  • Maximilian Liehr – PhD, 2022
  • Tristen Head – PhD, 2022
  • Sarah Rafiq – PhD, 2022
  • Erica Graham – PhD, 2021
  • Jubin Hazra – PhD, 2021
  • Eunice Chou – PhD, 2019
  • Wilkie Olin-Ammentorp – PhD, 2019
  • Joshua Holt – PhD, 2018
  • Logan Butt – PhD, 2018
  • Stephanie Curley – PhD, 2018
  • Karsten Beckmann – PhD, 2017
  • Zahiruddin Alamgir – PhD, 2017
  • Vishal Desai – PhD, 2017
  • Stephen Kasper – PhD, 2017
  • William “Rick” Hynes – PhD, 2016
  • Aleksandra Gunko – MS, 2014
  • Mary Graham – PhD, 2014
  • Jihan Capulong – PhD, 2014
  • Benjamin Briggs – PhD, 2014
  • Zach Rice – PhD, 2013
  • Aaron Mosier – PhD, 2013
  • Nicholas Fahrenkopf – PhD, 2013
  • Nathan McDonald – MS, 2012
  • Jason Behnke – MS, 2011
  • Ted van Hoof – MS, 2010
  • Blaze Messer – MS, 2010
Former Post Doctoral Associates
  • Aaron Mosier, PhD
  • Seann Bishop, PhD
  • Robert Balsano, PhD
  • Harika Manem, PhD
  • Karsten Beckmann, PhD
  • Nima Nikvand, PhD
Former Undergraduate Students

University at Albany / SUNY Polytechnic Institute Students

  • Nicholas Fahrenkopf
  • William (Rick) Hynes
  • Jason Behnke
  • Brian Clow
  • Joshua Kessler
  • Gabriel Kousourou
  • Steven Kasper
  • Lyndsay Toth
  • Alicia McCarthy
  • Daniel Sellers
  • Michael Hovish
  • Samantha Testa
  • Victoria Crockett
  • Rachel Bourgignon
  • James Sidoli
  • Xinru Wang
  • Tad Reese
  • Dominic Picciocca
  • Sarah Lombardo
  • Samuel Marthage
  • Aleksandr Fillipov Zachary Schaffer
  • Liam Wisehart
  • Duncan McCloskey
  • Ryan Hart
  • William Gasperi
  • Alex Hartwell
  • Austin Clark
  • David Lonstein
  • Elizabeth Blackert
  • Julianna Bourgeois                                  
  • Evan Iler
  • Tyler Jetjomlong
  • Elena Musteata    
  • Emma Richardson
  • Ezra Romero
  • Sierra Russell
  • Nadia Suguitan
  • Samuel Marthage
  • Aleksandr Filippov
  • Katherine Niles
  • David Lonstein
  • Alex Hartwell
  • Austin Clark
  • Emma Richardson
  • Ezra Romero
  • Elizabeth Blackert
  • Juliana Bourgeois
  • Mehek Ahmed
  • Colton Almarino
  • Brian Lanchester
  • Michael Johnson
  • Mubtasim Akhyar
  • Ashley Gibbons

Non – SUNY Polytechnic Institute Students

  • Kai Dallas (Cornell University)
  • Natalie McClain (Cornell University)
  • Katherine Lee (Binghamton University)
  • Sree Addepalli (University of Michigan)
  • Amanda Stewart (Stony Brook University)
  • Jennifer Baxter (Hamilton College)
  • Rhoda Asimeng (Siena College)
  • Chantel Grubbs (Florida A&M)
  • Sean McGinn (Binghamton University)
  • Eileen Jin (Dartmouth College)
  • Jared Mondschein (Union College)
  • Oludayisi Otulaja (Stony Brook University)
  • Gavin Clark-Gartner (Cornell University)
  • Julian Duff (Stony Brook University)
  • Olivia Ahner (Northeastern University)
  • Tyler Jetjomlong (UAlbany)

Medical Students

  • Luke Beardslee (Albany Medical College)
  • John Ling (Indiana Univ. Medical College)

Facilities

Laboratory
Biological

Prof. Cady runs a Biosafety Level 2 (BSL-2) laboratory (at SUNY Polytechnic Institute) with ~5,000 sq. ft. of space. This laboratory includes 30 C & 37 C incubators (both CO2 and non-CO2 equipped), -80 and -20 freezers, +4 C refrigerators, chemical solvents and acid fume hoods, a Class II/A2 biological safety cabinet, Nikon 80i epifluorescence microscope with a cooled QICam CCD camera, Leica SP5 confocal laser scanning microscope (CLSM), Nikon dissecting/stereomicroscope, two (2) Fisherbrand inverted phase contrast microscopes, Bruker Bioscope Catalyst atomic force microscope (AFM), Tecan M200 microplate fluorometer/luminometer with UV/VIS spectrophotometer capability, BioRad real-time PCR thermocycler, BioRad Protean II gel electrophoresis equipment, centrifuges, autoclave, Nanodrop ND1000 UV-Vis spectrophotometer and ND3300 fluorometer, Malvern Nano-ZS dynamic light scattering (DLS)/zeta potential instrument, multiple KD scientific and Harvard Apparatus syringe pumps, and all other general laboratory equipment needed for cell growth and maintenance, protein chemistry and biochemical analysis. The labs are equipped with a humidity-controlled Nano eNabler (NeN) QPL instrument (Bioforce Nanosciences) and ArrayIT Spot Bot II pin based printer for cell and molecular printing installed next to cell incubators and fluorescent microscopes. The lab also houses a Perkin Elmer Nexion 350X ICP-MS instrument for trace metal and nanomaterial analysis/quantification. In addition to the described biological laboratories, the PI’s can utilize existing facilities at SUNY Poly including all available metrology, surface analytical tools and electron/visual microscopy.

Nano/Micro Fabrication Facilities & Capabilities

Profs. Cady full access to the SUNY Poly nanofabrication complex for all nano/microfabrication tasks. SUNY Poly's fabrication facilities located at its Albany NanoTech Complex house more than 120 wafer processing and inline metrology tools. The tool sets installed in SUNY Poly's world-class facilities are dedicated to supporting the industry's wafer processing needs for the next several device generations ranging from 65nm to 7nm, and allowing exploratory work in support of full scaled nanotechnology. A complete list of available fabrication and metrology equipment and processes can be found at: https://sunypoly.edu/research/wafer-fabrication/wafer-processing-rd.html

SUNY Poly's next-generation facilities are currently operational with a fully enabled 65nm low power CMOS and RF CMOS offering. Early user hardware, custom R&D and on-demand derivative development support is provided at SUNY Poly with access to unique state-of-the-art industry standard semiconductor fabrication facilities, which serves as a technology test-bed leading to the development, demonstration, integration and qualification of advanced fabrication technologies for the semiconductor industry.

The SUNY Poly facilities house 300mm advanced lithography platforms to support 193nm immersion lithography development and EUV lithography development. Also installed are advanced wafer platforms for planarization, copper plating, etch development, ion implantation, thin film development and wet cleaning technology. In total, the nanofabrication complex houses the latest nanofabrication technology available, and house all the technology and equipment needed for the proposed project including resist spinners, UV immersion steppers, nanoimprint lithography, EUV lithography, E-beam lithography, PVD, CVD, PECVD and ALD deposition tools, chemical mechanical planarization (CMP) reactive ion etching, acid/base and solvent fume hoods.

Poly nano/micro fabrication facilities are broken down into the following sections, with these general capabilities: NanoFab 300 North is a 228,000 square foot, $175 million facility including 35,000 square feet of cleanroom space with Class 1 capable 300mm wafer production. NanoFab 300 South is a 150,000 square foot, $50 million facility including 32,000 square feet of cleanroom space. The facility also includes classrooms and offices for Poly. NanoFab 200 (also known as CESTM) is a 70,000 square foot facility that includes additional 4,000 square feet of cleanroom space, plus CNSE metrology labs. Equipment in this facility includes resist spinners, contact aligners, RIE etchers, evaporative and atomic layer deposition (ALD) thin film deposition tools, a plasma-based ashers, thermal annealing chambers and furnaces. Metrology equipment includes focused ion beam (FIB) sample preparation, X-ray diffraction, TEM, SEM, XPS, SIMS, and Auger spectroscopy. NanoFab Central, a 100,000-square-foot building that houses 15,000 square feet of 300mm wafer, class 1 capable cleanroom space, and NanoFab East, a separate 250,000-square-foot office, laboratory and classroom building. The newest building on-site to include fabrication facilities is NanoFabX, which was completed in 2013, and is a 500,000-square-foot facility with 50,000 square feet of 300mm wafer cleanrooms.

One of the unique metrology capabilities at SUNY Poly is a separately housed FEI Titan Themis S/TEM. This system is one of the most advanced electron microscopy platforms to date, capble of imaging and spectroscopy at the atomic level. The system is equipped wth multiple cameras and detectors. The system is capable of providing simoultanous information about position, bonding and composition of atoms and can be fitted with a tomography holder to obtain nm-resolution 3D reconstruction and electric field maps.

Other facilities at SUNY Poly include a D-180 and D-75 MOCVD epitaxial growth system capable of growing the entire III-Nitride quaternary. This facility will be used for AlN quantum material.

Electrical Testing & Evaluation

Prof. Cady maintains an electronics testing laboratory with ~500 sq. ft. of space which can be used for evaluation and analysis of electronic devices. The electronics testing laboratory contains a faraday cage enclosed Cascade M150 8” manual probe station, and a Wenesco 8” HP99D thermal stage. Electrical source and measure is carried out by an Agilent B1500A semiconductor parameter analyzer with DC and pulsing measurement capability, and associated Lenovo E30 workstation running Agilent EasyExpert software for data collection and analysis.

Additional electrical test equipment is available in a 900 sq. ft. lab space containing four major probers. These include two Cascade Microchamber test stations equipped with an Agilent B1500A semiconductor device analyzer, Keithley 708B switching matrix, Agilent E4908A precision LCR meter, Agilent 81110A pulse/pattern generator, Keithley 4200-SC5 semiconductor characterization system, Keysight N7744A optical power meter, Keithley 2613 system source meter and Keysight 8163B lightwave multiplier. There are two Suss Microtech semi-automated probe stations. These are equipped with Agilent B1500A semiconductor device analyzer, Agilent N5227A PNA network analyzer (10MHz-67GHz), WavePro 740Zi 4GHz oscilloscope, Anritsu 37369D vector network analyzer, HP 4145B semiconductor parameter analyzer, Agilent 3560A dynamic signal analyzer and ProPlus 9812B noise analyzer controller. There is also a Suss Microtech cryogenic test station capable of operating at LN2 temperatures in vacuum to 1E-5torr.

Computers

Multiple Lenovo desktop computers with internet access are available, all equipped with appropriate software for data analysis, word processing, email, etc. The PI and his students also have access to OriginLab, Statistica and GraphPad Prism (plotting and statistical analysis software); COMSOL (finite element analysis and simulation software); as well as L-Edit, Cadence, Mentor Graphics, and K-Layout (lithographic layout software) that is hosted on the SUNY Poly network and is supported by the SUNY Poly information technologies (CNSE Help) department.

Support

Current Support

  • Ciencia, Inc.
  • Emitech, Inc.
  • NIH
  • NSF
  • NIST
  • NY State Department of Economic Development
  • NY State Biodefense Fund (Empire State Development)
  • United States Air Force Research Laboratory (AFRL)
  • Xallent, Inc.
  • IBM-SUNY AI Alliance

Past Support

  • NSF
  • NASA (Space Tech Research Fellowship – Joshua Holt)
  • National Institute of Dental and Craniofacial Research (NIDCR / NIH)
  • Department of Energy (DOE)
  • National Cancer Institute (NIH)
  • United States Navy
  • US Army (SBIR Phase II with EWA Government Systems)
  • Air Force Office of Scientific Research (AFOSR)
  • NYSERDA
  • SEMATECH/ Nano Health & Safety Center (CNSE / SUNY PI)
  • Nanobiotechnology Center (NBTC) Cornell University – with Dr. David Lawrence (Wadsworth Ctr. NYS Dept. of Health)
  • Atotech
  • Jade Therapeutics / Eyegate