Machine Learning for Predicting Chemical Potentials of Multifunctional Organic Compounds in Atmospherically Relevant Solutions
Author:
Affiliation:
1. Department of Chemistry, Nanoscience Center, University of Jyväskylä, FI-40014 Jyväskylä, Finland
2. Department of Physics, Nanoscience Center, University of Jyväskylä, FI-40014 Jyväskylä, Finland
Funder
Jenny ja Antti Wihurin Rahasto
Academy of Finland
Publisher
American Chemical Society (ACS)
Subject
General Materials Science,Physical and Theoretical Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jpclett.2c02612
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1. Conductor-like Screening Model for Real Solvents: A New Approach to the Quantitative Calculation of Solvation Phenomena
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4. Measuring and Modeling the Salting-out Effect in Ammonium Sulfate Solutions
5. Calculating Equilibrium Phase Distribution during the Formation of Secondary Organic Aerosol Using COSMOtherm
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