Statistical analysis of the interaction between irradiation-induced defects and triple junctions. - Patrick Zarnas; Rémi Dingreville; Brittany Muntifering; Khalid Hattar; Brad L. Boyce; Jianmin Qu (Adv. Model. Simul. Eng. Sci., 2020)

Inferring topological transitions in pattern-forming processes with self-supervised learning. - Marcin Abram; Keith Burghardt; Greg Ver Steeg; Aram Galstyan; Rémi Dingreville (CoRR, 2022)

Learning two-phase microstructure evolution using neural operators and autoencoder architectures. - Vivek Oommen; Khemraj Shukla; Somdatta Goswami; Rémi Dingreville; George Em Karniadakis (CoRR, 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)

Micropolar elastoplasticity using a fast Fourier transform-based solver. - Noah M. Francis; Ricardo A. Lebensohn; Fatemeh Pourahmadian; Rémi Dingreville (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)

Equilibrium Conserving Neural Operators for Super-Resolution Learning. - Vivek Oommen; Andreas E. Robertson; Daniel Diaz; Coleman Alleman; Zhen Zhang 029; Anthony D. Rollett; George E. Karniadakis; Rémi Dingreville (CoRR, 2025)