Optoelectronics for refrigeration and analog circuits for combinatorial optimization - Tianyao Patrick Xiao (2019)

Device-aware inference operations in SONOS nonvolatile memory arrays. - Christopher H. Bennett; T. Patrick Xiao; Ryan Dellana; Ben Feinberg; Sapan Agarwal; Matthew J. Marinella; Vineet Agrawal; Venkatraman Prabhakar; Krishnaswamy Ramkumar; Long Hinh; Swatilekha Saha; Vijay Raghavan; et al. (IRPS, 2020)

Plasticity-Enhanced Domain-Wall MTJ Neural Networks for Energy-Efficient Online Learning. - Christopher H. Bennett; T. Patrick Xiao; Can Cui; Naimul Hassan; Otitoaleke G. Akinola; Jean Anne C. Incorvia; Alvaro Velasquez; Joseph S. Friedman; Matthew J. Marinella (ISCAS, 2020)

Process Variation Model and Analysis for Domain Wall-Magnetic Tunnel Junction Logic. - Xuan Hu; Alexander J. Edwards; T. Patrick Xiao; Christopher H. Bennett; Jean Anne C. Incorvia; Matthew J. Marinella; Joseph S. Friedman (ISCAS, 2020)

Evaluating complexity and resilience trade-offs in emerging memory inference machines. - Christopher H. Bennett; Ryan Dellana; T. Patrick Xiao; Ben Feinberg; Sapan Agarwal; Suma Cardwell; Matthew J. Marinella; William Severa; Brad Aimone (NICE, 2020)

Physics successfully implements Lagrange multiplier optimization. - Sri Krishna Vadlamani; Tianyao Patrick Xiao; Eli Yablonovitch (Proc. Natl. Acad. Sci. USA, 2020)

An Analog Preconditioner for Solving Linear Systems. - Ben Feinberg; Ryan Wong 001; T. Patrick Xiao; Christopher H. Bennett; Jacob N. Rohan; Erik G. Boman; Matthew J. Marinella; Sapan Agarwal; Engin Ipek (HPCA, 2021)

On the Accuracy of Analog Neural Network Inference Accelerators. - T. Patrick Xiao; Ben Feinberg; Christopher H. Bennett; Venkatraman Prabhakar; Prashant Saxena; Vineet Agrawal; Sapan Agarwal; Matthew J. Marinella (CoRR, 2021)

Shape-Dependent Multi-Weight Magnetic Artificial Synapses for Neuromorphic Computing. - Thomas Leonard; Samuel Liu; Mahshid Alamdar; Can Cui; Otitoaleke G. Akinola; Lin Xue; T. Patrick Xiao; Joseph S. Friedman; Matthew J. Marinella; Christopher H. Bennett; Jean Anne C. Incorvia (CoRR, 2021)

Analog Neural Network Inference Accuracy in One-Selector One-Resistor Memory Arrays. - Joshua E. Kim; T. Patrick Xiao; Christopher H. Bennett; Donald Wilson; Matthew Spear; Maximilian Siath; Ben Feinberg; Sapan Agarwal; Matthew J. Marinella (ICRC, 2022)

Equivalence of Coupled Parametric Oscillator Dynamics to Lagrange Multiplier Optimization. - Sri Krishna Vadlamani; Tianyao Patrick Xiao; Eli Yablonovitch (ICRC, 2022)

Equivalence of coupled parametric oscillator dynamics to Lagrange multiplier primal-dual optimization. - Sri Krishna Vadlamani; Tianyao Patrick Xiao; Eli Yablonovitch (CoRR, 2022)

An out-of-distribution discriminator based on Bayesian neural network epistemic uncertainty. - Ethan Ancell; Christopher H. Bennett; Bert J. Debusschere; Sapan Agarwal; Park Hays; T. Patrick Xiao (CoRR, 2022)

An Accurate, Error-Tolerant, and Energy-Efficient Neural Network Inference Engine Based on SONOS Analog Memory. - T. Patrick Xiao; Ben Feinberg; Christopher H. Bennett; Vineet Agrawal; Prashant Saxena; Venkatraman Prabhakar; Krishnaswamy Ramkumar; Harsha Medu; Vijay Raghavan; Ramesh Chettuvetty; Sapan Agarwal; Matthew J. Marinella (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

Statistical Characterization of ReRAM Arrays for Analog In-Memory Computing. - Jesse Short; Matthew Spear; Donald Wilson; William Wahby; T. Patrick Xiao; Robin Jacobs-Gedrim; Christopher H. Bennett; Nad Gilbert; Sapan Agarwal; Matthew J. Marinella (ICRC, 2023)

TID Response of an Analog In-Memory Neural Network Accelerator. - B. Tolleson; Christopher H. Bennett; T. Patrick Xiao; Donald Wilson; Jesse Short; Joshua E. Kim; David R. Hughart; Nad Gilbert; Sapan Agarwal; Hugh J. Barnaby; Matthew J. Marinella (IRPS, 2023)

Enabling High-Speed, High-Resolution Space-based Focal Plane Arrays with Analog In-Memory Computing. - T. Patrick Xiao; W. S. Wahby; Christopher H. Bennett; Park Hays; V. Agrawal; Matthew J. Marinella; Sapan Agarwal (VLSI Technology and Circuits, 2023)

Magnetic skyrmions and domain walls for logical and neuromorphic computing. - Xuan Hu; Can Cui; Samuel Liu; Felipe García-Sánchez; Wesley H. Brigner; Benjamin W. Walker; Alexander J. Edwards; T. Patrick Xiao; Christopher H. Bennett; Naimul Hassan; Michael P. Frank; Jean Anne C. Incorvia; et al. (Neuromorph. Comput. Eng., 2023)

Understanding and Manipulating Electronic Noise in Electrochemical Random Access Memory for Neuromorphic Computing. - Sangheon Oh; T. Patrick Xiao; Christopher H. Bennett; Patrick S. Finnegan; Sean R. Bishop; Adam S. Christensen; Adam L. Gross; Sangyong Lee; Andrew Jalbert; Leah Simakas; Joshua D. Sugar; Yiyang Li; et al. (DRC, 2024)

SHIFFT: A Scalable Hybrid In-Memory Computing FFT Accelerator. - Pragnya Sudershan Nalla; Zhenyu Wang; Sapan Agarwal; T. Patrick Xiao; Christopher H. Bennett; Matthew J. Marinella; Jae-sun Seo; Yu Cao 001 (ISVLSI, 2024)

Biological Dynamics Enabling Training of Binary Recurrent Networks. - G. William Chapman; Corinne Teeter; Sapan Agarwal; T. Patrick Xiao; Park Hays; Srideep Musuvathy (NICE, 2024)

A Discovery Platform to Characterize Emerging Nonvolatile Memories for Computing. - D. Wilson; Nad E. Gilbert; Matt Spear; J. Short; Christopher H. Bennett; William Wahby; Joshua E. Kim; Robin Jacobs-Gedrim; Tianyao Patrick Xiao; S. Agarwal; Matthew J. Marinella (VTS, 2024)

Analog fast Fourier transforms for scalable and efficient signal processing. - T. Patrick Xiao; Ben Feinberg; David K. Richardson; Matthew Cannon; Harsha Medu; Vineet Agrawal; Matthew J. Marinella; Sapan Agarwal; Christopher H. Bennett (CoRR, 2024)

Circuits that Solve Optimization Problems by Exploiting Physics Inequalities. - Eli Yablonovitch; Qixin Feng; Sri Krishna Vadlamani; T. Patrick Xiao (ISSCC, 2025)

Analog Bayesian neural networks are insensitive to the shape of the weight distribution. - Ravi G. Patel; T. Patrick Xiao; Sapan Agarwal; Christopher H. Bennett (CoRR, 2025)

Self-heating electrochemical memory for high-precision analog computing. - Adam L. Gross; Sangheon Oh; François Léonard; Wyatt Hodges; T. Patrick Xiao; Joshua D. Sugar; Jacklyn Zhu; Sritharini Radhakrishnan; Sangyong Lee; Jolie Wang; Adam S. Christensen; Sam Lilak; et al. (CoRR, 2025)