The Art and Science of Constructing a Memristor Model: Updated. - Suhas Kumar; Gary Gibson; Catherine E. Graves; Matthew D. Pickett; John Paul Strachan; R. Stanley Williams (Handbook of Memristor Networks, 2019)

Future Computing Systems (FCS) to Support "Understanding" Capability. - Raymond G. Beausoleil; Thomas Van Vaerenbergh; Kirk Bresniker; Catherine Graves; Kimberly Keeton; Suhas Kumar; Can Li; Dejan S. Milojicic; Sergey Serebryakov; John Paul Strachan (ICRC, 2019)

Harnessing Intrinsic Noise in Memristor Hopfield Neural Networks for Combinatorial Optimization. - Fuxi Cai; Suhas Kumar; Thomas Van Vaerenbergh; Rui Liu 005; Can Li; Shimeng Yu; Qiangfei Xia; J. Joshua Yang; Raymond G. Beausoleil; Wei Lu 003; John Paul Strachan (CoRR, 2019)

Thermodynamic Computing. - Tom Conte 001; Erik DeBenedictis; Natesh Ganesh; Todd Hylton; John Paul Strachan; R. Stanley Williams; Alexander A. Alemi; Lee Altenberg; Gavin E. Crooks; James P. Crutchfield; Lídia del Rio; Josh Deutsch; et al. (CoRR, 2019)

Classical Adiabatic Annealing in Memristor Hopfield Neural Networks for Combinatorial Optimization. - Suhas Kumar; Thomas Van Vaerenbergh; John Paul Strachan (ICRC, 2020)

A Simplified Model for a NbO2 Mott Memristor Physical Realization. - Ioannis Messaris; Ronald Tetzlaff; Alon Ascoli; R. Stanley Williams; Suhas Kumar; Leon O. Chua (ISCAS, 2020)

Improved Hopfield Network Optimization Using Manufacturable Three-Terminal Electronic Synapses. - Su-In Yi; Suhas Kumar; R. Stanley Williams (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Combinatorial Optimization in Hopfield Networks with Noise and Diagonal Perturbations. - Su-In Yi; Suhas Kumar; R. Stanley Williams (ISCAS, 2022)

Energy-based learning algorithms for analog computing: a comparative study. - Benjamin Scellier; Maxence Ernoult; Jack D. Kendall; Suhas Kumar (NeurIPS, 2023)

Research Challenges for Energy-Efficient Computing in Automated Vehicles. - Robert P. Dick; Rob Aitken; Jace Mogill; John Paul Strachan; Kirk Bresniker; Wei Lu 003; Yorie Nakahira; Zhiyong Li; Matthew J. Marinella; William Severa; A. Alec Talin; Craig M. Vineyard; et al. (Computer, 2023)

Energy Efficient Knapsack Optimization Using Probabilistic Memristor Crossbars. - Jinzhan Li; Suhas Kumar; Su-In Yi (CoRR, 2024)

Point cloud processing using non-volatile memories with circuit and sensor noise. - Minseong Park; Su-In Yi; Suhas Kumar (ISCAS, 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)

Forward Target Propagation: A Forward-Only Approach to Global Error Credit Assignment via Local Losses. - Nazmus Saadat As-Saquib; A. N. M. Nafiz Abeer; Hung-Ta Chien; Byung-Jun Yoon; Suhas Kumar; Su-in Yi (CoRR, 2025)