Automation and machine learning augmented by large language models in a catalysis study-Reference-Cited by-同舟云学术

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Automation and machine learning augmented by large language models in a catalysis study

Published:2024 Issue:31 Volume:15 Page:12200-12233
ISSN:2041-6520
Container-title:Chemical Science
language:en
Short-container-title:Chem. Sci.

Author:

Su Yuming¹²^ORCID,Wang Xue¹,Ye Yuanxiang³,Xie Yibo³,Xu Yujing¹,Jiang Yibin²^ORCID,Wang Cheng¹²^ORCID

Affiliation:

1. iChem, State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, P. R. China

2. Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen 361005, P. R. China

3. Institute of Artificial Intelligence, Xiamen University, Xiamen 361005, P. R. China

Abstract

AI and automation are revolutionizing catalyst discovery, shifting from manual methods to high-throughput digital approaches, enhanced by large language models.

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/SC/D3SC07012C

Reference228 articles.

1. Chemistry in Times of Artificial Intelligence

2. Machine-learning-assisted materials discovery using failed experiments

3. A mobile robotic chemist

4. An all-round AI-Chemist with a scientific mind

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