Search Results for author: Jielun Chen

Found 1 papers, 0 papers with code

How Well Does Kohn-Sham Regularizer Work for Weakly Correlated Systems?

no code implementations28 Oct 2021 Bhupalee Kalita, Ryan Pederson, Jielun Chen, Li Li, Kieron Burke

Kohn-Sham regularizer (KSR) is a differentiable machine learning approach to finding the exchange-correlation functional in Kohn-Sham density functional theory (DFT) that works for strongly correlated systems.

BIG-bench Machine Learning Total Energy

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