Bayesian optimization with constraint on passed charge for multiparameter screening of electrochemical reductive carboxylation in a flow microreactor-Reference-Cited by-同舟云学术

Bayesian optimization with constraint on passed charge for multiparameter screening of electrochemical reductive carboxylation in a flow microreactor

Published:2022 Issue:24 Volume:58 Page:3893-3896
ISSN:1359-7345
Container-title:Chemical Communications
language:en
Short-container-title:Chem. Commun.

Author:

Naito Yuki¹,Kondo Masaru²³^ORCID,Nakamura Yuto¹,Shida Naoki¹^ORCID,Ishikawa Kazunori⁴,Washio Takashi⁴⁵,Takizawa Shinobu³⁵^ORCID,Atobe Mahito¹^ORCID

Affiliation:

1. Graduate School of Science and Engineering, Yokohama National University, Yokohama, Kanagawa 240-8501, Japan

2. Department of Materials Science and Engineering, Graduate School of Science and Engineering, Ibaraki University, Hitachi 316-8511, Ibaraki, Japan

3. Department of Synthetic Organic Chemistry, SANKEN, Osaka University, Mihogaoka, Ibaraki, Osaka 567-0047, Japan

4. Department of Reasoning for Intelligence, SANKEN, Osaka University, Japan

5. Artificial Intelligence Research Center, SANKEN, Osaka University, Japan

Abstract

Multiparameter screening for a reductive carboxylation reaction in an electrochemical flow microreactor is performed with a Bayesian optimization (BO) strategy.

Funder

Japan Society for the Promotion of Science

Ministry of Education, Culture, Sports, Science and Technology

Daiichi Sankyo Foundation of Life Science

Iwatani Naoji Foundation

NOVARTIS Foundation (Japan) for the Promotion of Science

Publisher

Royal Society of Chemistry (RSC)

Subject

Materials Chemistry,Metals and Alloys,Surfaces, Coatings and Films,General Chemistry,Ceramics and Composites,Electronic, Optical and Magnetic Materials,Catalysis

Link

http://pubs.rsc.org/en/content/articlepdf/2022/CC/D2CC00124A

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