Prediction of Photochromism of Salicylideneaniline Crystals Using a Data Mining Approach-Reference-Cited by-同舟云学术

Prediction of Photochromism of Salicylideneaniline Crystals Using a Data Mining Approach

Published:2023-12-22 Issue:1 Volume:9 Page:1463-1471
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Hasebe Shodai¹^ORCID,Hatakeyama-Sato Kan²^ORCID,Oyaizu Kenichi¹^ORCID,Asahi Toru¹³,Koshima Hideko³^ORCID

Affiliation:

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

2. School of Materials and Chemical Technology, Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8552, Japan

3. Research Organization for Nano & Life Innovation, Waseda University, 513, Waseda Tsurumakicho, Shinjuku-ku, Tokyo 162-0041, Japan

Funder

Ministry of Education, Culture, Sports, Science and Technology

Japan Society for the Promotion of Science

Waseda University

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.3c07859

Reference63 articles.

1. Photochromic sensors: a versatile approach for recognition and discrimination

2. Diarylethene Molecular Photoswitches

3. Mechanically Responsive Organic Crystals by Light

4. PHOTOCHROMY AND THERMOCHROMY OF ANILS1

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