Machine‐Learning‐Assisted Selective Synthesis of a Semiconductive Silver Thiolate Coordination Polymer with Segregated Paths for Holes and Electrons-Reference-Cited by-同舟云学术

Machine‐Learning‐Assisted Selective Synthesis of a Semiconductive Silver Thiolate Coordination Polymer with Segregated Paths for Holes and Electrons

Published:2021-09-24 Issue:43 Volume:60 Page:23217-23224
ISSN:1433-7851
Container-title:Angewandte Chemie International Edition
language:en
Short-container-title:Angew. Chem. Int. Ed.

Author:

Wakiya Takuma¹,Kamakura Yoshinobu¹,Shibahara Hiroki¹,Ogasawara Kazuyoshi¹,Saeki Akinori²^ORCID,Nishikubo Ryosuke²^ORCID,Inokuchi Akihiro³,Yoshikawa Hirofumi⁴,Tanaka Daisuke¹⁵^ORCID

Affiliation:

1. Department of Chemistry School of Science and Technology Kwansei Gakuin University 2-1 Gakuen Sanda Hyogo 669-1337 Japan

2. Department of Applied Chemistry Graduate School of Engineering Osaka University 2-1 Yamadaoka Suita Osaka 565-0871 Japan

3. Department of Informatics School of Science and Technology Kwansei Gakuin University 2-1 Gakuen Sanda Hyogo 669-1337 Japan

4. Department of Nanotechnology for Sustainable Energy School of Science and Technology Kwansei Gakuin University 2-1 Gakuen Sanda Hyogo 669-1337 Japan

5. JST PRESTO 2-1 Gakuen Sanda Hyogo 669-1337 Japan

Funder

Precursory Research for Embryonic Science and Technology

Japan Society for the Promotion of Science

Publisher

Wiley

Subject

General Chemistry,Catalysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/anie.202110629

Reference61 articles.

2. Electrically Conductive Metal–Organic Frameworks