データサイエンスに基づく高分子の高次構造記述子の抽出とゴム弾性の記述

抄録

In the research development of polymer science based on AI or machine learning approach, the treatment of higher-order structure of polymers is essential, but often troublesome. The complex structure or high dimensional data should be reduced to low dimensional physical/feature values, which afford interpretability for human. This review describes higher-order structure descriptor of polymers for AI research development and its application for describing rubber elasticity based on data science.