Parsimonious neural networks learn classical mechanics and can teach it. - Saaketh Desai; Alejandro Strachan (CoRR, 2020)

Sim2Ls: FAIR simulation workflows and data. - Martin Hunt; Steven Clark; Daniel Mejia 003; Saaketh Desai; Alejandro Strachan (CoRR, 2021)

Implementing a neural network interatomic model with performance portability for emerging exascale architectures. - Saaketh Desai; Samuel Temple Reeve; James F. Belak (Comput. Phys. Commun., 2022)

Learning incoherent light emission steering from metasurfaces using generative models. - Prasad P. Iyer; Saaketh Desai; Sadhvikas Addamane; Rémi Dingreville; Igal Brener (WACV, 2023)

Rethinking materials simulations: Blending direct numerical simulations with neural operators. - Vivek Oommen; Khemraj Shukla; Saaketh Desai; Rémi Dingreville; George Em Karniadakis (CoRR, 2023)

Self-driving lab discovers principles for steering spontaneous emission. - Saaketh Desai; Sadhvikas Addamane; Jeffery Y. Tsao; Igal Brener; Rémi Dingreville; Prasad P. Iyer (CoRR, 2024)

AutoSciLab: A Self-Driving Laboratory for Interpretable Scientific Discovery. - Saaketh Desai; Sadhvikas Addamane; Jeffrey Y. Tsao; Igal Brener; Laura P. Swiler; Rémi Dingreville; Prasad P. Iyer (AAAI, 2025)