[K202-4am] 02. Theoretical Chemistry, Chemoinformatics, and Computational Chemistry

[K202-4am-03] Construction and Improvement of Capacity Prediction Models for Organic Anode Active Materials of Lithium Ion Battery

^○Haruka Tobita¹, Yuki Namiuchi², Hiroaki Imai¹, Koki Obinata³, Masato Okada³, Yasuhiko Igarashi², Yuya Oaki¹ (1. Keio University, 2. University of Tsukuba, 3. The Univ. of Tokyo)

[Lang.] Japanese

Keywords:lithium-ion battery, organic anode active materials, machine learning, sparse modeling