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Emerging Atomistic Modeling Methods for Heterogeneous Electrocatalysis.
Levell, Zachary; Le, Jiabo; Yu, Saerom; Wang, Ruoyu; Ethirajan, Sudheesh; Rana, Rachita; Kulkarni, Ambarish; Resasco, Joaquin; Lu, Deyu; Cheng, Jun; Liu, Yuanyue.
Afiliación
  • Levell Z; Texas Materials Institute and Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
  • Le J; Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, 1219 Zhongguan West Road, Ningbo 315201, China.
  • Yu S; Texas Materials Institute and Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
  • Wang R; Texas Materials Institute and Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
  • Ethirajan S; Department of Chemical Engineering, University of California, Davis, California 95616, United States.
  • Rana R; Department of Chemical Engineering, University of California, Davis, California 95616, United States.
  • Kulkarni A; Department of Chemical Engineering, University of California, Davis, California 95616, United States.
  • Resasco J; Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
  • Lu D; Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, New York 11973, United States.
  • Cheng J; State Key Laboratory of Physical Chemistry of Solid Surfaces, iChEM, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
  • Liu Y; Laboratory of AI for Electrochemistry (AI4EC), Tan Kah Kee Innovation Laboratory, Xiamen 361005, China.
Chem Rev ; 2024 Jul 11.
Article en En | MEDLINE | ID: mdl-38990563
ABSTRACT
Heterogeneous electrocatalysis lies at the center of various technologies that could help enable a sustainable future. However, its complexity makes it challenging to accurately and efficiently model at an atomic level. Here, we review emerging atomistic methods to simulate the electrocatalytic interface with special attention devoted to the components/effects that have been challenging to model, such as solvation, electrolyte ions, electrode potential, reaction kinetics, and pH. Additionally, we review relevant computational spectroscopy methods. Then, we showcase several examples of applying these methods to understand and design catalysts relevant to green hydrogen. We also offer experimental views on how to bridge the gap between theory and experiments. Finally, we provide some perspectives on opportunities to advance the field.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Chem Rev Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Chem Rev Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos