Solving a steady-state PDE using spiking networks and neuromorphic hardware. - J. Darby Smith; William Severa; Aaron J. Hill; Leah Reeder; Brian Franke; Richard B. Lehoucq; Ojas D. Parekh; James B. Aimone (ICONS, 2020)

Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling. - James B. Aimone; Richard B. Lehoucq; William Severa; J. Darby Smith (ICRC, 2021)

Neuromorphic scaling advantages for energy-efficient random walk computation. - J. Darby Smith; Aaron J. Hill; Leah E. Reeder; Brian C. Franke; Richard B. Lehoucq; Ojas Parekh; William Severa; James B. Aimone (CoRR, 2021)

Learning to Parameterize a Stochastic Process Using Neuromorphic Data Generation. - William Severa; J. Darby Smith; James Bradley Aimone; Richard B. Lehoucq (ICONS, 2022)

Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random Number Generation. - Suma George Cardwell; Catherine D. Schuman; J. Darby Smith; Karan Patel; Jaesuk Kwon; Samuel Liu; Christopher Allemang; Shashank Misra; Jean Anne C. Incorvia; James B. Aimone (ICRC, 2022)

Neural Mini-Apps as a Tool for Neuromorphic Computing Insight. - Craig M. Vineyard; Suma Cardwell; Frances S. Chance; Srideep Musuvathy; Fred Rothganger; William Severa; John Darby Smith; Corinne Teeter; Felix Wang; James B. Aimone (NICE, 2022)

A review of non-cognitive applications for neuromorphic computing. - James B. Aimone; Prasanna Date; Gabriel A. Fonseca Guerra; Kathleen E. Hamilton; Kyle Henke; Bill Kay; Garrett T. Kenyon; Shruti R. Kulkarni; Susan M. Mniszewski; Maryam Parsa; Sumedh R. Risbud; Catherine D. Schuman; et al. (Neuromorph. Comput. Eng., 2022)

Deep Reinforcement Learning Methods for Discovering Novel Neuromorphic Devices. - Douglas Cale Crowder; John Darby Smith; Suma George Cardwell (ICONS, 2023)

Synaptic Sampling of Neural Networks. - James B. Aimone; William Severa; J. Darby Smith (ICRC, 2023)

Stochastic Neuromorphic Circuits for Solving MAXCUT. - Bradley H. Theilman; Yipu Wang; Ojas Parekh; William Severa; J. Darby Smith; James B. Aimone (IPDPS, 2023)

AI-Enhanced Codesign of Neuromorphic Circuits. - Douglas Cale Crowder; J. Darby Smith; Suma George Cardwell (MWSCAS, 2023)

Optimization of Magnetic Tunneling Junction Devices for Neuromorphic Circuits for Solving MAXCUT. - Ian Mulet; Bradley H. Theilman; Karan P. Patel; Jared Arzate; Andrew Maicke; J. Darby Smith; James B. Aimone; Suma Cardwell; Jean Anne C. Incorvia; Catherine D. Schuman (ICRC, 2024)

Device Codesign using Reinforcement Learning. - Suma George Cardwell; Karan Patel; Catherine D. Schuman; J. Darby Smith; Jaesuk Kwon; Andrew Maicke; Jared Arzate; Jean Anne C. Incorvia (ISCAS, 2024)

AI-Guided Codesign Framework for Novel Material and Device Design applied to MTJ-based True Random Number Generators. - Karan P. Patel; Andrew Maicke; Jared Arzate; Jaesuk Kwon; J. Darby Smith; James B. Aimone; Jean Anne C. Incorvia; Suma George Cardwell; Catherine D. Schuman (CoRR, 2024)

AI-Guided Codesign for Novel Computing Paradigms. - Suma George Cardwell; J. Darby Smith; Karan Patel; Andrew Maicke; Jared Arzate; Samuel Liu; Jaesuk Kwon; Christopher Allemang; Douglas Cale Crowder; Shashank Misra; Frances S. Chance; Catherine D. Schuman; et al. (ASP-DAC, 2025)