Learning Without a Global Clock: Asynchronous Learning in a Physics-Driven Learning Network. - Jacob F. Wycoff; Sam Dillavou; Menachem Stern; Andrea J. Liu; Douglas J. Durian (CoRR, 2022)

Bellybutton: Accessible and Customizable Deep-Learning Image Segmentation. - Sam Dillavou; Jesse M. Hanlan; Anthony T. Chieco; Hongyi Xiao; Sage Fulco; Kevin T. Turner; Douglas J. Durian (CoRR, 2023)

Machine Learning Without a Processor: Emergent Learning in a Nonlinear Electronic Metamaterial. - Sam Dillavou; Benjamin D. Beyer; Menachem Stern; Marc Z. Miskin; Andrea J. Liu; Douglas J. Durian (CoRR, 2023)

Solving the compute crisis with physics-based ASICs. - Maxwell Aifer; Zach Belateche; Suraj Bramhavar; Kerem Yunus Çamsari; Patrick J. Coles; Gavin E. Crooks; Douglas J. Durian; Andrea J. Liu; Anastasia Marchenkova; Antonio J. Martinez; Peter L. McMahon; Faris M. Sbahi; et al. (CoRR, 2025)