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cs.LG2026
EquiFiLM: Charge-Conditioned Equivariant Force Fields via Feature-wise Linear Modulation
Samuel Sahel-Schackis, Ken-ichi Nomura, Aiichiro Nakano +2
Foundation machine learning force fields (MLFFs) such as MACE-MP-0 and UMA cover broad chemical space at near density functional theory (DFT) accuracy. However, they assume equilib…
cs.LG2024
Generative AI-driven forecasting of oil production
Yash Gandhi, Kexin Zheng, Birendra Jha +4
Forecasting oil production from oilfields with multiple wells is an important problem in petroleum and geothermal energy extraction, as well as energy storage technologies. The acc…