Sep 1 "SNAP-FM: Sparse Nonlinear Accelerated Projection for Physics-Constrained Generative Modeling" wins the Best Paper Award at IEEE HPEC 2026
Apr 24 "Utkarsh presents ""End-to-End Probabilistic Framework for Learning with Hard Constraints"" and "Physics-Constrained Flow Matching for Molecules" at ICLR 2026
Apr 7 Emmanuel Lujan presents "Accelerating Linear Solves in Finite Element Simulations with Julia & AI" at the CHEFSI TST Meeting, MIT, co-authored with Felipe Tomé, Rabab Alomairy, Julian Samaroo, Daniel Pickard, Theo Rulko, Evelyne Ringoot, Yaman Otuzbir, Artemis Pados, Victoria Carrica, Ngoc Cuong Nguyen, Raul Radovitzky, and Alan Edelman
Apr 7 Emmanuel Lujan presents "Accelerating Linear Solves in Finite Element Simulations with Julia & AI" at the CHEFSI TST Meeting, MIT, co-authored with Felipe Tomé, Rabab Alomairy, Julian Samaroo, Daniel Pickard, Theo Rulko, Evelyne Ringoot, Yaman Otuzbir, Artemis Pados, Victoria Carrica, Ngoc Cuong Nguyen, Raul Radovitzky, and Alan Edelman
Apr 7 Artemis Pados presents "Neural Sparse Linear Solver Selection" at the CHEFSI TST Meeting, MIT, co-authored with Chris Rackauckas, Alan Edelman, Emmanuel Lujan, Daniel Pickard, and Felipe Tomé
Feb 10 Collin Wittenstein, Emmanuel Lujan, Andrew Inglis, Robert Metcalfe, Alan Edelman, and Hendrik Ranocha publish "A Full Three-Dimensional GPU-Accelerated Model for Deep Borehole Heat Exchangers (DBHEs) Enabling Simulation of Well Arrays" in the Proceedings of the 51st Workshop on Geothermal Reservoir Engineering
