Data-Driven Prediction of Configurational Stability of Molecule-Adsorbed Heterogeneous Catalysts-Reference-Cited by-同舟云学术

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Data-Driven Prediction of Configurational Stability of Molecule-Adsorbed Heterogeneous Catalysts

Published:2023-09-15 Issue:19 Volume:63 Page:5981-5995
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Noh Juhwan¹,Chang Hyunju¹

Affiliation:

1. Korea Research Institute of Chemical Technology (KRICT), Daejeon 34114, Republic of Korea

Funder

Korea Research Institute of Chemical Technology

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c00591

Reference56 articles.

1. Current progress in electrocatalytic carbon dioxide reduction to fuels on heterogeneous catalysts

2. Catalysts for nitrogen reduction to ammonia

3. From the Sabatier principle to a predictive theory of transition-metal heterogeneous catalysis

4. Computational Methods in Heterogeneous Catalysis

5. Accelerated discovery of CO2 electrocatalysts using active machine learning

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