Can Machine Learning Predict the Phase Behavior of Surfactants?
Author:
Affiliation:
1. The Hartree Centre, STFC Daresbury Laboratory, Warrington, WA4 4AD, United Kingdom
2. Department of Chemistry, University of Liverpool, Crown Street, Liverpool, L69 7ZD, United Kingdom
Funder
Science and Technology Facilities Council
Publisher
American Chemical Society (ACS)
Subject
Materials Chemistry,Surfaces, Coatings and Films,Physical and Theoretical Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jpcb.2c08232
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1. A critical review on various feedstocks as sustainable substrates for biosurfactants production: a way towards cleaner production
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3. Computer simulations of a water/oil interface in the presence of micelles
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5. Prediction of the Critical Micelle Concentration of Nonionic Surfactants by Dissipative Particle Dynamics Simulations
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