Integrating theory with machine learning for predicting polymer solution phase behavior
Flory-Huggins (FH) theory is foundational to understanding macro-phase separation in polymer solutions; however, its predictions often quantitatively disagree with experiment. Recent machine-learning (ML) methods have generated predictive models of phase behavior across a broad range of chemistries...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-08-01
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| Series: | Giant |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666542523000334 |