arXiv · 2309.15985
Open Source Infrastructure for Differentiable Density Functional Theory
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.
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Advika Vidhyadhiraja, Arun Pa Thiagarajan, Shang Zhu, Venkat Viswanathan, Bharath Ramsundar. 2023-09-27. Open Source Infrastructure for Differentiable Density Functional Theory. https://arxiv.org/abs/2309.15985
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