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Machine Learning-Assisted Phase Diagram Determination in Aqueous Two-Phase Systems.

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Bibliographic Details
Title: Machine Learning-Assisted Phase Diagram Determination in Aqueous Two-Phase Systems.
Authors: Thomas N; Theoretical Division, Theoretical Biology and Biophysics (T-6), Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States., Witmer A; Computing and Artificial Intelligence Division, Applied Computer Science (CAI-1), Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States., Lee HK; Materials Physics and Applications Division, Center for Integrated Nanotechnologies (CINT), Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States., López CA; Theoretical Division, Theoretical Biology and Biophysics (T-6), Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States., Reddy T; Computing and Artificial Intelligence Division, Applied Computer Science (CAI-1), Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States., Kim M; Materials Physics and Applications Division, Center for Integrated Nanotechnologies (CINT), Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.
Source: Langmuir : the ACS journal of surfaces and colloids [Langmuir] 2026 May 12; Vol. 42 (18), pp. 12658-12669. Date of Electronic Publication: 2026 Apr 30.
Publication Type: Journal Article
Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 9882736 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-5827 (Electronic) Linking ISSN: 07437463 NLM ISO Abbreviation: Langmuir Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1520-5827
DOI:10.1021/acs.langmuir.6c00306