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Comparison of Machine Learning Approaches for Prediction of the Equivalent Alkane Carbon Number for Microemulsions Based on Molecular Properties.

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Bibliographic Details
Title: Comparison of Machine Learning Approaches for Prediction of the Equivalent Alkane Carbon Number for Microemulsions Based on Molecular Properties.
Authors: Furth NR; Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee Knoxville 310 Ferris Hall, 1508 Middle Drive, Knoxville, Tennessee 37996, United States.; University of Tennessee-Oak Ridge Innovation Institute, Oak-Ridge, Tennessee 37831, United States., Imel AE; University of Tennessee-Oak Ridge Innovation Institute, Oak-Ridge, Tennessee 37831, United States.; Department of Chemical and Biomolecular Engineering, University of Tennessee 419 Dougherty Engineer Building, 1512 Middle Drive, Knoxville, Tennessee 37996, United States., Zawodzinski TA; Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee Knoxville 310 Ferris Hall, 1508 Middle Drive, Knoxville, Tennessee 37996, United States.; University of Tennessee-Oak Ridge Innovation Institute, Oak-Ridge, Tennessee 37831, United States.; Department of Chemical and Biomolecular Engineering, University of Tennessee 419 Dougherty Engineer Building, 1512 Middle Drive, Knoxville, Tennessee 37996, United States.; Energy Storage and Membrane Materials Group, Oak Ridge National Laboratory, Oak-Ridge, Tennessee 37831, United States.
Source: The journal of physical chemistry. A [J Phys Chem A] 2024 Aug 15; Vol. 128 (32), pp. 6763-6773. Date of Electronic Publication: 2024 Aug 06.
Publication Type: Journal Article
Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 9890903 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-5215 (Electronic) Linking ISSN: 10895639 NLM ISO Abbreviation: J Phys Chem A Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1520-5215
DOI:10.1021/acs.jpca.4c00936