Predicting second virial coefficients of organic and inorganic compounds using Gaussian process regression
Author:
Affiliation:
1. Department of Chemistry
2. Imperial College London
3. London SW7 2AZ
4. UK
5. Fritz-Haber-Institut der Max-Planck-Gesellschaft
6. 14195 Berlin
7. Germany
Abstract
Intuitive and accessible molecular features are used to predict the temperature-dependent second virial coefficient of organic and inorganic compounds with Gaussian process regression.
Publisher
Royal Society of Chemistry (RSC)
Subject
Physical and Theoretical Chemistry,General Physics and Astronomy
Link
http://pubs.rsc.org/en/content/articlepdf/2021/CP/D0CP05509C
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