Nucleic Acid-based Detection of Bacterial Pathogens Using Integrated Microfluidic Platform Systems. - Clarissa Lui; Nathaniel C. Cady; Carl A. Batt (Sensors, 2009)

Biologically self-assembled memristive circuit elements. - Nathaniel C. Cady; Magnus Bergkvist; Nicholas M. Fahrenkopf; Phillip Z. Rice; Joseph Van Nostrand (ISCAS, 2010)

An extendable multi-purpose 3D neuromorphic fabric using nanoscale memristors. - Harika Manem; Karsten Beckmann; Min Xu; Robert Carroll; Robert E. Geer; Nathaniel C. Cady (CISDA, 2015)

Reducing the effect of parasitic capacitance on implantable passive resonant sensors. - John F. Drazan; Omar T. Abdoun; Michael T. Wassick; George A. Marcus; Reena Dahle; Luke A. Beardslee; Nathaniel C. Cady; Eric H. Ledet (EMBC, 2016)

A simple sensing mechanism for wireless, passive pressure sensors. - John F. Drazan; Michael T. Wassick; Reena Dahle; Luke A. Beardslee; Nathaniel C. Cady; Eric H. Ledet (EMBC, 2016)

Flow-based computing on nanoscale crossbars: Design and implementation of full adders. - Zahiruddin Alamgir; Karsten Beckmann; Nathaniel C. Cady; Alvaro Velasquez; Sumit Kumar Jha 001 (ISCAS, 2016)

Techniques for Improved Reliability in Memristive Crossbar PUF Circuits. - Mesbah Uddin; Md. Badruddoja Majumder; Garrett S. Rose; Karsten Beckmann; Harika Manem; Zahiruddin Alamgir; Nathaniel C. Cady (ISVLSI, 2016)

A Unified Hardware/Software Co-Design Framework for Neuromorphic Computing Devices and Applications. - James S. Plank; Garrett S. Rose; Mark E. Dean; Catherine D. Schuman; Nathaniel C. Cady (ICRC, 2017)

A practical hafnium-oxide memristor model suitable for circuit design and simulation. - Sherif Amer; Sagarvarma Sayyaparaju; Garrett S. Rose; Karsten Beckmann; Nathaniel C. Cady (ISCAS, 2017)

Design techniques for in-field memristor forming circuits. - Sherif Amer; Garrett S. Rose; Karsten Beckmann; Nathaniel C. Cady (MWSCAS, 2017)

Performance Enhancement of a Time-Delay PUF Design by Utilizing Integrated Nanoscale ReRAM Devices. - Karsten Beckmann; Harika Manem; Nathaniel C. Cady (IEEE Trans. Emerg. Top. Comput., 2017)

Design Considerations for Memristive Crossbar Physical Unclonable Functions. - Mesbah Uddin; Md. Badruddoja Majumder; Karsten Beckmann; Harika Manem; Zahiruddin Alamgir; Nathaniel C. Cady; Garrett S. Rose (ACM J. Emerg. Technol. Comput. Syst., 2018)

Fabrication and Performance of Hybrid ReRAM-CMOS Circuit Elements for Dynamic Neural Networks. - Maximilian Liehr; Jubin Hazra; Karsten Beckmann; Wilkie Olin-Ammentorp; Nathaniel C. Cady; Ryan Weiss; Sagarvarma Sayyaparaju; Garrett S. Rose; Joseph Van Nostrand (ICONS, 2019)

Training Spiking Networks via Natural Evolution Strategies. - Wilkie Olin-Ammentorp; Nathaniel C. Cady (ICONS, 2019)

Cellular Memristive-Output Reservoir (CMOR). - Wilkie Olin-Ammentorp; Karsten Beckmann; Nathaniel C. Cady (CoRR, 2019)

Accurate Inference with Inaccurate RRAM Devices: Statistical Data, Model Transfer, and On-line Adaptation. - Gouranga Charan; Jubin Hazra; Karsten Beckmann; Xiaocong Du; Gokul Krishnan; Rajiv V. Joshi; Nathaniel C. Cady; Yu Cao 001 (DAC, 2020)

Towards Synaptic Behavior of Nanoscale ReRAM Devices for Neuromorphic Computing Applications. - Karsten Beckmann; Wilkie Olin-Ammentorp; Gangotree Chakma; Sherif Amer; Garrett S. Rose; Chris Hobbs; Joseph Van Nostrand; Martin Rodgers; Nathaniel C. Cady (ACM J. Emerg. Technol. Comput. Syst., 2020)

Design and Fabrication of Flow-Based Edge Detection Memristor Crossbar Circuits1. - Jodh S. Pannu; Sunny Raj; Steven Lawrence Fernandes; Dwaipayan Chakraborty; Sarah Rafiq; Nathaniel C. Cady; Sumit Kumar Jha 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2020)

Function-on-Function Regression for Trajectory Prediction of Small-Scale Particles towards Next-generation Neuromorphic Computing. - Antony Joseph; Juan Wu; Kaiyan Yu; Lan Jiang; Nathaniel C. Cady; Bing Si (CASE, 2021)

Bilayer Ga-Sb Phase Change Memory with Intermediate Resistance State. - Haibo Gong; Rubab Ume; Vadim Tokranov; Michael Yakimov; Devendra Sadana; Kevin Brew; Guy Cohen; Sandra Schujman; Karsten Beckmann; Nathaniel C. Cady; Serge Oktyabrsky (DRC, 2021)

Optimization of Switching Metrics for CMOS Integrated HfO2 based RRAM Devices on 300 mm Wafer Platform. - Jubin Hazra; Maximilian Liehr; Karsten Beckmann; Minhaz Abedin; Sarah Rafiq; Nathaniel C. Cady (IMW, 2021)

Robust RRAM-based In-Memory Computing in Light of Model Stability. - Gokul Krishnan; Jingbo Sun; Jubin Hazra; Xiaocong Du; Maximilian Liehr; Zheng Li 020; Karsten Beckmann; Rajiv V. Joshi; Nathaniel C. Cady; Yu Cao 001 (IRPS, 2021)

In-memory Computation of Error-Correcting Codes Using a Reconfigurable HfOx ReRAM 1T1R Array. - Minhaz Abedin; Maximilian Liehr; Karsten Beckmann; Jubin Hazra; Sarah Rafiq; Nathaniel C. Cady (MWSCAS, 2021)

Stochasticity and robustness in spiking neural networks. - Wilkie Olin-Ammentorp; Karsten Beckmann; Catherine D. Schuman; James S. Plank; Nathaniel C. Cady (Neurocomputing, 2021)

Investigation of ReRAM Variability on Flow-Based Edge Detection Computing Using HfO2-Based ReRAM Arrays. - Sarah Rafiq; Jubin Hazra; Maximilian Liehr; Karsten Beckmann; Minhaz Abedin; Jodh S. Pannu; Sumit Kumar Jha 001; Nathaniel C. Cady (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Work-in-Progress: A Processing-in-Pixel Accelerator based on Multi-level HfOx ReRAM. - Minhaz Abedin; Arman Roohi; Nathaniel C. Cady; Shaahin Angizi (CASES, 2022)

Variation-aware Design Space Exploration of Mott Memristor-based Neuristors. - Shamiul Alam; Md. Mazharul Islam 006; Akhilesh Jaiswal 001; Nathaniel C. Cady; Garrett S. Rose; Ahmedullah Aziz (ISVLSI, 2022)

A Compact Model for the Variable Switching Dynamics of HfO2 Memristors. - Manu Rathore; Ryan Weiss; Mst Shamim Ara Shawkat; Garrett S. Rose; Maximilian Liehr; Minhaz Abedin; Sarah Rafiq; Nathaniel C. Cady (MWSCAS, 2022)

A Generalized Workflow for Creating Machine Learning-Powered Compact Models for Multi-State Devices. - Jack Hutchins; Shamiul Alam; Andre Zeumault; Karsten Beckmann; Nathaniel C. Cady; Garrett S. Rose; Ahmedullah Aziz (IEEE Access, 2022)

Exploring Model Stability of Deep Neural Networks for Reliable RRAM-Based In-Memory Acceleration. - Gokul Krishnan; Li Yang 009; Jingbo Sun; Jubin Hazra; Xiaocong Du; Maximilian Liehr; Zheng Li 020; Karsten Beckmann; Rajiv V. Joshi; Nathaniel C. Cady; Deliang Fan; Yu Cao 001 (IEEE Trans. Computers, 2022)

Hybrid RRAM/SRAM in-Memory Computing for Robust DNN Acceleration. - Gokul Krishnan; Zhenyu Wang; Injune Yeo; Li Yang 009; Jian Meng; Maximilian Liehr; Rajiv V. Joshi; Nathaniel C. Cady; Deliang Fan; Jae-Sun Seo; Yu Cao 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

A 65nm RRAM Compute-in-Memory Macro for Genome Sequencing Alignment. - Fan Zhang 069; Wangxin He; Injune Yeo; Maximilian Liehr; Nathaniel C. Cady; Yu Cao 001; Jae-Sun Seo; Deliang Fan (ESSCIRC, 2023)

RFAM: RESET-Failure-Aware-Model for HfO2-based Memristor to Enhance the Reliability of Neuromorphic Design. - Hritom Das; Manu Rathore; Rocco Febbo; Maximilian Liehr; Nathaniel C. Cady; Garrett S. Rose (ACM Great Lakes Symposium on VLSI, 2023)

Deep Mapper: A Multi-Channel Single-Cycle Near-Sensor DNN Accelerator. - Mehrdad Morsali; Sepehr Tabrizchi; Maximilian Liehr; Nathaniel C. Cady; Mohsen Imani; Arman Roohi; Shaahin Angizi (ICRC, 2023)

Moving Towards Game-Changing Technology: Fabrication and Application of HfO2 RRAM for In-Memory Computing. - Kangjun Bai; Daniel Titcombe; Jack Lombardi; Clare Thiem; Nathaniel C. Cady (ISQED, 2023)

An Efficient and Accurate Memristive Memory for Array-Based Spiking Neural Networks. - Hritom Das; Rocco D. Febbo; Sree Nirmillo Biswash Tushar; Nishith N. Chakraborty; Maximilian Liehr; Nathaniel C. Cady; Garrett S. Rose (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

In-Memory Computation Using CMOS-Integrated Resistive RAM for Robotic Navigation. - Jeelka Solanki; Jacob Pelton; Rocco Febbo; Maximilian Liehr; Andrew DeCandia; Karsten Beckmann; Garrett S. Rose; Nathaniel C. Cady (ICONS, 2024)

Measurement of the Crystallization and Phase Transition of Niobium Dioxide Thin-Films for Neuromorphic Computing Applications Using a Tube Furnace Optical Transmission System. - Zachary R. Robinson; Karsten Beckmann; James Michels; Vincent Daviero; Elizabeth A. Street; Fiona Lorenzen; Matthew C. Sullivan; Nathaniel C. Cady; Alexander Kozen; Marc Currie (CoRR, 2024)

A 65-nm RRAM Compute-in-Memory Macro for Genome Processing. - Fan Zhang 069; Amitesh Sridharan; Wangxin He; Injune Yeo; Maximilian Liehr; Wei Zhang 076; Nathaniel C. Cady; Yu Cao 001; Jae-Sun Seo; Deliang Fan (IEEE J. Solid State Circuits, 2024)