Open Source Infrastructure for Differentiable Density Functional Theory

Advika Vidhyadhiraja, Arun Pa Thiagarajan, Shang Zhu, Venkatasubraman Viswanathan, Bharath Ramsundar

Keywords: Differentiable, Density, Functional, Theory, Deepchem

TL;DR: Implementing deep learning techniques in Quantum Chemistry calculations.

Abstract: Learning exchange correlation functionals, used in quantum chemistry calculations, from data has become increasingly important in recent years, but training such a functional requires sophisticated software infrastructure. For this reason, we build open source infrastructure to train neural exchange correlation functionals. We aim to standardize the processing pipeline by adapting state-of-the-art techniques from work done by multiple groups. We have open sourced the model in the DeepChem library to provide a platform for additional research on differentiable quantum chemistry methods.

Submission Number: 52