Predicting polymer solubility from phase diagrams to compatibility: a perspective on challenges and opportunities

Ethier, Jeffrey; Antoniuk, Evan R.; Brettmann, Blair

doi:10.1039/D4SM00590B

Title: Predicting polymer solubility from phase diagrams to compatibility: a perspective on challenges and opportunities

Journal Article · 31 December 2023 · Soft Matter

DOI: https://doi.org/10.1039/D4SM00590B · OSTI ID:2397370

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Materials and Manufacturing Directorate, Air Force Research Laboratory, Wright-Patterson AFB, Ohio 45433, USA
Materials Science Division, Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California 94550, USA
Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA, Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA

Advances in physical models and data science are improving predictions of polymer–solvent phase behavior and we discuss the different approaches taken today and the remaining barriers to making broadly useful predictions.

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Research Organization:: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)

Sponsoring Organization:: USDOE; USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: AC52-07NA27344

OSTI ID:: 2397370

Report Number(s):: LLNL--JRNL-864138; 10.1039.D4SM00590B

Journal Information:: Soft Matter, Journal Name: Soft Matter; ISSN SMOABF; ISSN 1744-683X

Publisher:: Royal Society of Chemistry (RSC)Copyright Statement

Country of Publication:: United Kingdom

Language:: English

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