Interpretable Machine Learning Models for Phase Prediction in Polymerization-Induced Self-Assembly

[Image: see text] While polymerization-induced self-assembly (PISA) has become a preferred synthetic route toward amphiphilic block copolymer self-assemblies, predicting their phase behavior from experimental design is extremely challenging, requiring time and work-intensive creation of empirical ph...

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Detalles Bibliográficos
Autores principales: Lu, Yiwen, Yalcin, Dilek, Pigram, Paul J., Blackman, Lewis D., Boley, Mario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10268968/
https://www.ncbi.nlm.nih.gov/pubmed/37208794
http://dx.doi.org/10.1021/acs.jcim.3c00460

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10268968/
https://www.ncbi.nlm.nih.gov/pubmed/37208794
http://dx.doi.org/10.1021/acs.jcim.3c00460

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