SAMURAI - NIMS Researchers Database

NIMS Awardシンポジウム2026

HOME > 論文 > 書誌詳細

Understanding Colour Tuning Rules and Predicting Absorption Wavelengths of Microbial Rhodopsins by Data-Driven Machine-Learning Approach

Masayuki Karasuyama, Keiichi Inoue, Ryoko Nakamura, Hideki Kandori, Ichiro Takeuchi.
Scientific Reports 8 [1] . 2018.
Open Access Springer Nature (Publisher)

NIMS著者


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


      作成時刻: 2019-04-17 03:11:25 +0900 更新時刻: 2026-09-29 05:29:19 +0900

      ▲ページトップへ移動