Feature vectorization of microphase-separated structures in polymeric materials using dissipative particle dynamics and persistent homology for machine learning applications
Feature vectorization of microphase-separated structures in polymeric materials using dissipative particle dynamics and persistent homology for machine learning applications
Yukito Higashi,K. Okuwaki,2 Authors,Koichiro Kato
2025 · DOI: 10.1039/d4dd00376d
Digital Discovery · 6 Citations
Abstract
Persistent homology-based feature extraction of DPD-generated microphase-separated structures enables low-dimensional mapping of polymer membranes, offering a novel informatics-guided strategy for screening proton-conductive materials.