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Published in 2022 at "Journal of Chemical Theory and Computation"
DOI: 10.1021/acs.jctc.1c00813
Abstract: The application of machine learning to theoretical chemistry has made it possible to combine the accuracy of quantum chemical energetics with the thorough sampling of finite-temperature fluctuations. To reach this goal, a diverse set of…
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Keywords:
neural network;
network approaches;
regression;
kernel regression ... See more keywords