Construction of an Interpretable Regression Model for Yield Prediction and Mechanistic Insight Enabled by Automated Reaction Path Exploration | 研究者総覧SAMURAI - 物質・材料研究機構 (NIMS)

停電によるサービス停止のお知らせ（2026年10月31日～11月1日） (2026-10-29)

HOME > 論文 > 書誌詳細

Construction of an Interpretable Regression Model for Yield Prediction and Mechanistic Insight Enabled by Automated Reaction Path Exploration

Takahiro Doba, Yu Harabuchi, Yuuya Nagata, Satoshi Maeda.

Journal of the American Chemical Society 148 [25] 26150-26160. 2026.

https://doi.org/10.1021/jacs.6c05203

Open Access American Chemical Society (ACS) (Publisher) Materials Data Repository (MDR)

NIMS著者

長田裕也

Materials Data Repository (MDR)上の本文・データセット

MDRavailable Construction of an Interpretable Regression Model for Yield Prediction and Mechanistic Insight Enabled by Automated Reaction Path Exploration

作成時刻: 2026-09-05 03:05:48 +0900 更新時刻: 2026-10-07 05:47:12 +0900

▲ページトップへ移動