A Universal Descriptor for the Screening of Electrode Materials for Multiple-Electron Processes: Beyond the Thermodynamic Overpotential

被引:115
作者
Exner, Kai S. [1 ]
机构
[1] Univ Duisburg Essen, Fac Chem, Theoret Chem, D-45141 Essen, Germany
来源
ACS CATALYSIS | 2020年 / 10卷 / 21期
关键词
D O I
10.1021/acscatal.0c03865
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
On the way toward a sustainable energy economy, electrode materials that do not contain scarce noble metals need to be developed. Operating at low computational costs, material screening is a powerful tool to assess the performance of potential electrode compositions by categorizing materials into active and inactive. Most commonly, linear scaling relationships are analyzed by the construction of a volcano plot, in which the thermodynamic overpotential, eta(TD), serves as activity descriptor. Even if this descriptor identifies the majority of active electrode materials, it has been reported that eta(TD) lacks thorough sorting of catalysts according to their activity. This failure is mainly related to the fact that eta(TD) is defined by a single free-energy change (thermodynamics), whereas the applied overpotential and kinetics are not factored in the analysis. Based on the discussion of free-energy diagrams and the rate-determining reaction step, this Viewpoint introduces an alternate activity descriptor, G(max)(eta), for multiple-electron processes, thereby including the applied overpotential and kinetic effects in the evaluation. On the example of the oxygen evolution reaction, the application of G(max)(eta) for the screening and optimization of electrode materials is discussed, providing a different perspective compared with the conventional scheme of eta(TD).
引用
收藏
页码:12607 / 12617
页数:11
相关论文
共 91 条
  • [1] Toward a Design of Active Oxygen Evolution Catalysts: Insights from Automated Density Functional Theory Calculations and Machine Learning
    Back, Seoin
    Tran, Kevin
    Ulissi, Zachary W.
    [J]. ACS CATALYSIS, 2019, 9 (09): : 7651 - 7659
  • [2] Machine Learning-Guided Approach for Studying Solvation Environments
    Basdogan, Yasemin
    Groenenboom, Mitchell C.
    Henderson, Ethan
    De, Sandip
    Rempe, Susan B.
    Keith, John A.
    [J]. JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2020, 16 (01) : 633 - 642
  • [3] A paramedic treatment for modeling explicitly solvated chemical reaction mechanisms
    Basdogan, Yasemin
    Keith, John A.
    [J]. CHEMICAL SCIENCE, 2018, 9 (24) : 5341 - 5346
  • [4] Bockris J. OM., 1973, Modern Electrochemistry, V2, P991
  • [5] A New Type of Scaling Relations to Assess the Accuracy of Computational Predictions of Catalytic Activities Applied to the Oxygen Evolution Reaction
    Briquet, Ludovic G. V.
    Sarwar, Misbah
    Mugo, Jane
    Jones, Glenn
    Calle-Vallejo, Federico
    [J]. CHEMCATCHEM, 2017, 9 (07) : 1261 - 1268
  • [6] Water oxidation: From mechanisms to limitations
    Busch, Michael
    [J]. CURRENT OPINION IN ELECTROCHEMISTRY, 2018, 9 : 278 - 284
  • [7] Electrochemical Barriers Made Simple
    Chan, Karen
    Norskov, Jens K.
    [J]. JOURNAL OF PHYSICAL CHEMISTRY LETTERS, 2015, 6 (14): : 2663 - 2668
  • [8] Potential Dependence of Electrochemical Barriers from ab Initio Calculations
    Chant, Karen
    Norskov, Jens K.
    [J]. JOURNAL OF PHYSICAL CHEMISTRY LETTERS, 2016, 7 (09): : 1686 - 1690
  • [9] Energetic Span as a Rate-Determining Term for Electrocatalytic Volcanos
    Chen, Junxiang
    Chen, Yongting
    Li, Peng
    Wen, Zhenhai
    Chen, Shengli
    [J]. ACS CATALYSIS, 2018, 8 (11): : 10590 - 10598
  • [10] The hydrogen economy
    Crabtree, GW
    Dresselhaus, MS
    Buchanan, MV
    [J]. PHYSICS TODAY, 2004, 57 (12) : 39 - 44