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)

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 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)

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)

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)

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)

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)