Predicting Critical Properties and Acentric Factors of Fluids Using Multitask Machine Learning
Author:
Affiliation:
1. Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
Funder
Defense Advanced Research Projects Agency
Machine Learning for Pharmaceutical Discovery and Synthesis Consortium, Massachusetts Institute of Technology
Publisher
American Chemical Society (ACS)
Subject
Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c00546
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