Oxygen Vacancy Formation Energy in Metal Oxides: High-Throughput Computational Studies and Machine-Learning Predictions-Reference-Cited by-同舟云学术

Oxygen Vacancy Formation Energy in Metal Oxides: High-Throughput Computational Studies and Machine-Learning Predictions

Published:2023-12-04 Issue:24 Volume:35 Page:10619-10634
ISSN:0897-4756
Container-title:Chemistry of Materials
language:en
Short-container-title:Chem. Mater.

Author:

Baldassarri Bianca¹^ORCID,He Jiangang²³^ORCID,Gopakumar Abhijith²⁴,Griesemer Sean²,Salgado-Casanova Adolfo J. A.²^ORCID,Liu Tzu-Chen²,Torrisi Steven B.⁵^ORCID,Wolverton Chris¹²^ORCID

Affiliation:

1. Graduate Program in Applied Physics, Northwestern University, Evanston, Illinois 60208, United States

2. Department of Materials Science, Northwestern University, Evanston, Illinois 60208, United States

3. Present: School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China

4. Present: QuesTek Innovations LLC, Evanston, Illinois 60201, United States

5. Toyota Research Institute, Los Altos, California 94022, United States

Funder

Air Force Office of Scientific Research

Office of Energy Efficiency and Renewable Energy

Center for Hierarchical Materials Design

Toyota Research Institute

Agencia Nacional de Investigaci?n y Desarrollo

Publisher

American Chemical Society (ACS)

Subject

Materials Chemistry,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.chemmater.3c02251

Reference76 articles.

1. Factors Governing Oxygen Reduction in Solid Oxide Fuel Cell Cathodes

2. Materials for Intermediate-Temperature Solid-Oxide Fuel Cells

3. Quantum-mechanics-based design principles for solid oxide fuel cell cathode materials

4. Hydrogen production from water utilizing solar heat at high temperatures

5. Comparison of thermochemical, electrolytic, photoelectrolytic and photochemical solar-to-hydrogen production technologies