Accurate prediction of binding energies for two‐dimensional catalytic materials using machine learning-Reference-Cited by-同舟云学术

Accurate prediction of binding energies for two‐dimensional catalytic materials using machine learning

Published:2020-09-06 Issue:20 Volume:12 Page:5109-5120
ISSN:1867-3880
Container-title:ChemCatChem
language:en
Short-container-title:ChemCatChem

Author:

Melisande Fischer Julia¹,Hunter Michelle²,Hankel Marlies²,Searles Debra J.²³,Parker Amanda J.¹,Barnard Amanda S.⁴^ORCID

Affiliation:

1. Data61 CSIRO Docklands 3008 Australia

2. Centre for Theoretical and Computational Molecular Science Australian Institute for Bioengineering and Nanotechnology The University of Queensland Brisbane 4072 Australia

3. School of Chemistry and Molecular Biosciences The University of Queensland Brisbane 4072 Australia

4. Research School of Computer Science Australian National University Acton 2601 Australia

Funder

Research Computing Centre, University of Queensland

Publisher

Wiley

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Catalysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cctc.202000536

Reference42 articles.

1. Single-Atom Catalysts: A New Frontier in Heterogeneous Catalysis

2. Single-atom catalysis of CO oxidation using Pt1/FeOx

3. Remarkable Performance of Ir1/FeOx Single-Atom Catalyst in Water Gas Shift Reaction

4. The Power of Single-Atom Catalysis

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