电催化剂
计算
连接(主束)
能量学
透视图(图形)
生化工程
计算机科学
计算模型
统计物理学
纳米技术
材料科学
模拟
化学
热力学
工程类
人工智能
机械工程
算法
物理
电极
物理化学
电化学
作者
Joaquin Resasco,Frank Abild‐Pedersen,Christopher Hahn,Zhenan Bao,Marc T. M. Koper,Thomas F. Jaramillo
出处
期刊:Nature Catalysis
[Springer Nature]
日期:2022-05-25
卷期号:5 (5): 374-381
被引量:78
标识
DOI:10.1038/s41929-022-00789-0
摘要
Combining computational and experimental methods is a powerful approach to understand the variables that govern catalyst performance and ultimately design improved materials. However, the effectiveness of this approach rests on the strength of the relationships between calculated parameters and experimental measurements. These relationships are complicated by the intricacy and dynamic behaviour of catalytic active sites, and by the non-trivial relationship between calculated reaction energetics and observed rates. In this Perspective, we highlight opportunities to enhance the connection between computation and experiment in electrocatalysis. These include measuring the intrinsic kinetic behaviour of catalysts, creating precise models for the active site and its environment, and forming clear relationships between calculated reaction energetics and observed rates. As experimental and computational methods continue to become more powerful, clear connections between the two will maximize their utility to guide the design of efficient and selective electrocatalysts. Combining computational and experimental methods is a powerful approach, but these are not always directly comparable. This Perspective discusses the relationship between experimental measurements and theoretical calculations in electrocatalysis and aims to enhance the connections between the two.
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