10 citations · 26 across the 8 of their papers we have counts for
3 papers · 1 filter
-Diffusion: A diffusion-based density estimation framework for computational physics
Maxwell X. Cai, Kin Long Kelvin Lee
In physics, density is a fundamentally important scalar function to model, since it describes a scalar field or a probability density function that governs a physical pr…
Towards Foundation Models for Materials Science: The Open MatSci ML Toolkit
Kin Long Kelvin Lee, Carmelo Gonzales, Matthew Spellings +3
Artificial intelligence and machine learning have shown great promise in their ability to accelerate novel materials discovery. As researchers and domain scientists seek to unify a…
MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling
Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar +3
We propose MatSci ML, a novel benchmark for modeling MATerials SCIence using Machine Learning (MatSci ML) methods focused on solid-state materials with periodic crystal structures.…