Solvent Selection Scheme Using Machine Learning Based on Physicochemical Description of Solvent Molecules: Application to Cyclic Organometallic Reaction-Reference-Cited by-同舟云学术

Solvent Selection Scheme Using Machine Learning Based on Physicochemical Description of Solvent Molecules: Application to Cyclic Organometallic Reaction

Published:2020-07-15 Issue:7 Volume:93 Page:841-845
ISSN:0009-2673
Container-title:Bulletin of the Chemical Society of Japan
language:en
Short-container-title:BCSJ

Author:

Fujinami Mikito¹,Maekawara Hiroki¹,Isshiki Ryota²,Seino Junji³⁴,Yamaguchi Junichiro²,Nakai Hiromi¹³⁵

Affiliation:

1. Department of Chemistry and Biochemistry, School of Advanced Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan

2. Department of Applied Chemistry, School of Advanced Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan

3. Waseda Research Institute for Science and Engineering (WISE), Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan

4. PRESTO, Japan Science and Technology Agency (JST), 4-1-8 Honcho, Kawaguchi, Saitama 332-0012, Japan

5. Elements Strategy Initiative for Catalysts and Batteries (ESICB), Kyoto University, Katsura, Kyoto 615-8520, Japan

Publisher

The Chemical Society of Japan

Subject

General Chemistry

Link

http://www.journal.csj.jp/doi/pdf/10.1246/bcsj.20200045

Reference29 articles.

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