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Augmenting zero-Kelvin quantum mechanics with machine learning for the prediction of chemical reactions at high temperatures

Published Online: 2021-12-01

Authors

Garrido Torres, Jose Antonio

Gharakhanyan, Vahe http://orcid.org/0000-0001-6396-2918
Artrith, Nongnuch http://orcid.org/0000-0003-1153-6583
Eegholm, Tobias Hoffmann

Urban, Alexander http://orcid.org/0000-0002-9021-279X
Funding

Funding for this research was provided by:

NSF | Directorate for Mathematical & Physical Sciences | Division of Materials Research (DMR-1940290)
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Text and Data Mining valid from 2021-12-01

Version of Record valid from 2021-12-01
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Article History

Received: 19 May 2021

Accepted: 4 October 2021

First Online: 1 December 2021

Competing interests

: The authors declare no competing interests.

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