速報論文 (Selected Papers)
ランダムフォレストを用いた結晶性高分子のX線散乱回折データの解析
キーワード:
Random Forest,
Importance,
Crystalline polymers,
Polylactic acid,
X-ray diffraction and scattering
2021 年 20 巻 3 号 p. 103-105
詳細
2021 年 20 巻 3 号 p. 103-105
Crystalline polymers have a hierarchical structure in which polymer chains are folded. Although each hierarchical structure strongly affects the physical properties of crystalline polymers, it is hard to describe the relationship between the formation conditions, crystal structure and physical properties. We used Random Forest regression to comprehensively investigate the relationship between these features of polylactic acid (PLA), a biodegradable crystalline polymer. It was suggested that important features for mechanical property and biodegradability, where the trade-off relationship between them is a significant issue of PLA, are related to the different level crystal structures. This shows that it is possible to use Random Forest for complex prediction of crystalline polymer properties to search for important forming conditions and crystal structures.
