Search for Catalysts by Inverse Design: Artificial Intelligence, Mountain Climbers, and Alchemists-Reference-Cited by-同舟云学术

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Search for Catalysts by Inverse Design: Artificial Intelligence, Mountain Climbers, and Alchemists

Published:2019-05-06 Issue:11 Volume:119 Page:6595-6612
ISSN:0009-2665
Container-title:Chemical Reviews
language:en
Short-container-title:Chem. Rev.

Author:

Freeze Jessica G.¹²,Kelly H. Ray¹²,Batista Victor S.²³^ORCID

Affiliation:

1. Department of Chemistry, Yale University, New Haven, Connecticut 06520, United States

2. Energy Sciences Institute, Yale University, West Haven, Connecticut 06516, United States

3. Department of Chemistry, Yale University, P.O. Box 208107, New Haven, Connecticut 06520, United States

Funder

Air Force Office of Scientific Research

National Science Foundation

Publisher

American Chemical Society (ACS)

Subject

General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.chemrev.8b00759

Reference189 articles.

1. Chemical space

2. Catalysis making the world a better place

3. A Holy Grail in Chemistry: Computational Catalyst Design: Feasible or Fiction?

4. Computational prediction of small-molecule catalysts

5. Density functional theory in surface chemistry and catalysis

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3. A quantitative investigation on pyrolysis behaviors of metal ion-exchanged coal macerals by interpretable machine learning algorithms;Energy;2024-08

4. From Characterization to Discovery: Artificial Intelligence, Machine Learning and High-Throughput Experiments for Heterogeneous Catalyst Design;ACS Catalysis;2024-07-24

5. In Silico Discovery of a Neutral 2π Aromatic Silicon Aluminum Compound;Organometallics;2024-07-04

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