Superconducting thin film nanoelectronics. - Adam Nykoruk McCaughan (2015)

Design of Superconducting Optoelectronic Networks for Neuromorphic Computing. - Sonia M. Buckley; Adam N. McCaughan; Jeff Chiles; Richard P. Mirin; Sae Woo Nam; Jeffrey M. Shainline; Grant Bruer; James S. Plank; Catherine D. Schuman (ICRC, 2018)

Superconducting Optoelectronic Neurons I: General Principles. - Jeffrey M. Shainline; Sonia M. Buckley; Adam N. McCaughan; Jeff Chiles; Richard P. Mirin; Sae Woo Nam (CoRR, 2018)

Superconducting Optoelectronic Neurons III: Synaptic Plasticity. - Jeffrey M. Shainline; Adam N. McCaughan; Sonia M. Buckley; Christine A. Donnelly; Manuel Castellanos-Beltran; Michael L. Schneider; Richard P. Mirin; Sae Woo Nam (CoRR, 2018)

Superconducting Optoelectronic Neurons IV: Transmitter Circuits. - Jeffrey M. Shainline; Adam N. McCaughan; Sonia M. Buckley; Richard P. Mirin; Sae Woo Nam (CoRR, 2018)

Superconducting Optoelectronic Neurons V: Networks and Scaling. - Jeffrey M. Shainline; Jeff Chiles; Sonia M. Buckley; Adam N. McCaughan; Richard P. Mirin; Sae Woo Nam (CoRR, 2018)

Light for communication and superconductors for efficiency in neural computing. - Jeffrey M. Shainline; Sonia M. Buckley; Adam N. McCaughan; Jeff Chiles; Richard P. Mirin; Sae Woo Nam (CoRR, 2018)

Superconducting Optoelectronic Neurons II: Receiver Circuits. - Jeffrey M. Shainline; Sonia M. Buckley; Adam N. McCaughan; Manuel Castellanos-Beltran; Christine A. Donnelly; Michael L. Schneider; Richard P. Mirin; Sae Woo Nam (CoRR, 2018)

Layer-skipping connections facilitate training of layered networks using equilibrium propagation. - Jimmy Gammell; Sae Woo Nam; Adam N. McCaughan (ICONS, 2020)

Microresonator-Enhanced, Waveguide-Coupled Emission from Silicon Defect Centers for Superconducting Optoelectronic Networks. - Alexander N. Tait; Sonia M. Buckley; Adam Nykoruk McCaughan; Jeff Chiles; Sae Woo Nam; Richard P. Mirin; Jeffrey M. Shainline (OFC, 2020)

PHIDL: Python CAD layout and geometry creation for nanolithography. - Adam N. McCaughan; A. M. Tait; Sonia M. Buckley; D. M. Oh; J. T. Chiles; Jeffrey M. Shainline; Sae Woo Nam (CoRR, 2021)

Layer-Skipping Connections Improve the Effectiveness of Equilibrium Propagation on Layered Networks. - Jimmy Gammell; Sonia M. Buckley; Sae Woo Nam; Adam N. McCaughan (Frontiers Comput. Neurosci., 2021)

A general approach to fast online training of modern datasets on real neuromorphic systems without backpropagation. - Sonia M. Buckley; Adam N. McCaughan (ICONS, 2022)

Demonstration of Superconducting Optoelectronic Single-Photon Synapses. - Saeed Khan; Bryce A. Primavera; Jeff Chiles; Adam N. McCaughan; Sonia M. Buckley; Alexander N. Tait; Adriana Lita; John Biesecker; Anna Fox; David Olaya; Richard P. Mirin; Sae Woo Nam; et al. (CoRR, 2022)

Reconfigurable Superconducting Logic Using Multi-Gate Switching of a Nano-Cryotron. - Shamiul Alam; Adam N. McCaughan; Ahmedullah Aziz (DRC, 2023)

Multiplexed gradient descent: Fast online training of modern datasets on hardware neural networks without backpropagation. - Adam N. McCaughan; Bakhrom G. Oripov; Natesh Ganesh; Sae Woo Nam; Andrew M. Dienstfrey; Sonia M. Buckley (CoRR, 2023)

Superconducting Heater Cryotron-Based Reconfigurable Logic Towards Cryogenic IC Camouflaging. - Shamiul Alam; Dana S. Rampini; Bakhrom G. Oripov; Adam N. McCaughan; Ahmedullah Aziz (CoRR, 2023)

Machine Learning-powered Compact Modeling of Stochastic Electronic Devices using Mixture Density Networks. - Jack Hutchins; Shamiul Alam; Dana S. Rampini; Bakhrom G. Oripov; Adam N. McCaughan; Ahmedullah Aziz (CoRR, 2023)

Roadmap on Neuromorphic Photonics. - Daniel Brunner; Bhavin J. Shastri; Mohammed Al-Qadasi; Hitesh Ballani; Sylvain Barbay; Stefano Biasi; Peter Bienstman; Simon Bilodeau; Wim Bogaerts; Fabian Böhm; Grace Brennan; Sonia M. Buckley; et al. (CoRR, 2025)

Scaling of hardware-compatible perturbative training algorithms. - Bakhrom G. Oripov; Andrew M. Dienstfrey; Adam N. McCaughan; Sonia M. Buckley (CoRR, 2025)