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Published in 2023 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.2c01024
Abstract: The past few years have witnessed significant advances in developing machine learning methods for molecular energetics predictions, including calculated electronic energies with high-level quantum mechanical methods and experimental properties, such as solvation free energy and…
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Keywords:
deep ensemble;
molecular energetics;
sphysnet ens5;
experimental properties ... See more keywords