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Molecular dynamics for electrocatalysis: Mechanism explanation and performance prediction

  • Yue Wang
  • , Haodong Shao
  • , Chengxu Zhang*
  • , Feng Liu
  • , Jianqiang Zhao
  • , Sanyuan Zhu
  • , Michael K.H. Leung*
  • , Jue Hu*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

187 Downloads (CityUHK Scholars)

Abstract

Designing low-cost, high-performing electrocatalysts is key to green energy development, yet relying solely on the “synthesis-characterization” catalyst screening model is time-consuming and costly. There are two main applications for Molecular dynamics (MD) simulations in electrochemical reactions: explaining mechanisms and predicting performance, which play important roles in fabricating robust electrocatalysts. MD simulations of electrocatalysis include the adsorption and desorption of reactants, intermediates, and products in this review. The structural changes in active centers under various electric field states, the effects of alkali metal cations, common anions, and pH effects in the electrolyte on the electrocatalytic process are also discussed to reveal the reaction mechanism. Then the prediction of the catalysts performance in specific reaction using MD simulations are introduced. Finally, the optimization and challenges of MD techniques are discussed. © 2023 The Authors
Original languageEnglish
Article number100028
JournalEnergy Reviews
Volume2
Issue number3
Online published9 Jun 2023
DOIs
Publication statusPublished - Sept 2023

Funding

This research is supported by National Nature Science Foundation of China (Nos. 51864024, 21862011), and Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. CityU 11206520).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Research Keywords

  • Electrocatalysis
  • Electrolyte solution
  • Explain the mechanism
  • Molecular dynamics simulations
  • Predictive performance

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

RGC Funding Information

  • RGC-funded

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