Molecular fingerprint and machine learning to accelerate design of high‐performance homochiral metal–organic frameworks-Reference-Cited by-同舟云学术

Molecular fingerprint and machine learning to accelerate design of high‐performance homochiral metal–organic frameworks

Author:

Qiao Zhiwei¹²³^ORCID,Li Lifeng¹,Li Shuhua¹,Liang Hong¹,Zhou Jian²^ORCID,Snurr Randall Q.³^ORCID

Affiliation:

1. Guangzhou Key Laboratory for New Energy and Green Catalysis, School of Chemistry and Chemical Engineering Guangzhou University Guangzhou China

2. School of Chemistry and Chemical Engineering South China University of Technology Guangzhou China

3. Department of Chemical & Biological Engineering Northwestern University Evanston Illinois USA

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

U.S. Department of Energy

Publisher

Wiley

Subject

General Chemical Engineering,Environmental Engineering,Biotechnology

Link

Reference69 articles.

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