Advancing Physical Chemistry with Machine Learning
Author:
Publisher
American Chemical Society (ACS)
Subject
General Materials Science,Physical and Theoretical Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jpclett.0c03130
Reference38 articles.
1. Quantum Chemistry in the Age of Machine Learning
2. Machine Learning the Physical Nonlocal Exchange–Correlation Functional of Density-Functional Theory
3. Toward the Exact Exchange–Correlation Potential: A Three-Dimensional Convolutional Neural Network Construct
4. Data-Driven Acceleration of the Coupled-Cluster Singles and Doubles Iterative Solver
5. Integrating Machine Learning with the Multilayer Energy-Based Fragment Method for Excited States of Large Systems
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