Search Results for author: Eric Taw

Found 2 papers, 1 papers with code

Higher-Order Equivariant Neural Networks for Charge Density Prediction in Materials

1 code implementation8 Dec 2023 Teddy Koker, Keegan Quigley, Eric Taw, Kevin Tibbetts, Lin Li

The calculation of electron density distribution using density functional theory (DFT) in materials and molecules is central to the study of their quantum and macro-scale properties, yet accurate and efficient calculation remains a long-standing challenge in the field of material science.

Investigating the Behavior of Diffusion Models for Accelerating Electronic Structure Calculations

no code implementations2 Nov 2023 Daniel Rothchild, Andrew S. Rosen, Eric Taw, Connie Robinson, Joseph E. Gonzalez, Aditi S. Krishnapriyan

We present an investigation into diffusion models for molecular generation, with the aim of better understanding how their predictions compare to the results of physics-based calculations.

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