Zhu Xinwei, Huang Jun, Eikerling Michael
Theory and Computation of Energy Materials (IEK-13), Institute of Energy and Climate Research, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany.
Chair of Theory and Computation of Energy Materials, Faculty of Georesources and Materials Engineering, RWTH Aachen University, 52062 Aachen, Germany.
Acc Chem Res. 2024 Aug 6;57(15):2080-2092. doi: 10.1021/acs.accounts.4c00234. Epub 2024 Jul 20.
ConspectusElectrocatalytic reactions, such as oxygen reduction/evolution reactions and CO reduction reaction that are pivotal for the energy transition, are multistep processes that occur in a nanoscale electric double layer (EDL) at a solid-liquid interface. Conventional analyses based on the Sabatier principle, using binding energies or effective electronic structure properties such as the d-band center as descriptors, are able to grasp overall trends in catalytic activity in specific groups of catalysts. However, thermodynamic approaches often fail to account for electrolyte effects that arise in the EDL, including pH, cation, and anion effects. These effects exert strong impacts on electrocatalytic reactions. There is growing consensus that the local reaction environment (LRE) prevailing in the EDL is the key to deciphering these complex and hitherto perplexing electrolyte effects. Increasing attention is thus paid to designing electrolyte properties, positioning the LRE at center stage. To this end, unraveling the LRE is becoming essential for designing electrocatalysts with specifically tailored properties, which could enable much needed breakthroughs in electrochemical energy science.Theory and modeling are getting more and more important and powerful in addressing this multifaceted problem that involves physical phenomena at different scales and interacting in a multidimensional parametric space. Theoretical models developed for this purpose should treat intrinsic multistep kinetics of electrocatalytic reactions, EDL effects from subnm scale to the scale of 10 nm, and mass transport phenomena bridging scales from <0.1 to 100 μm. Given the diverse physical phenomena and scales involved, it is evident that the challenge at hand surpasses the capabilities of any single theoretical or computational approach.In this Account, we present a hierarchical theoretical framework to address the above challenge. It seamlessly integrates several modules: (i) microkinetic modeling that accounts for various reaction pathways; (ii) an LRE model that describes the interfacial region extending from the nanometric EDL continuously to the solution bulk; (iii) first-principles calculations that provide parameters, ., adsorption energies, activation barriers and EDL parameters. The microkinetic model considers all elementary steps without designating an rate-determining step. The kinetics of these elementary steps are expressed in terms of local concentrations, potential and electric field that are codetermined by EDL charging and mass transport in the LRE model. Vital insights on electrode kinetic phenomena, ., potential-dependent Tafel slopes, cation effects, and pH effects, obtained from this hierarchical framework are then reviewed. Finally, an outlook on further improvement of the model framework is presented, in view of recent developments in first-principles based simulation of electrocatalysis, observations of dynamic reconstruction of catalysts, and machine-learning assisted computational simulations.
综述
电催化反应,如对能量转换至关重要的氧还原/析出反应和CO还原反应,是在固液界面的纳米级双电层(EDL)中发生的多步过程。基于萨巴蒂尔原理的传统分析,使用结合能或有效电子结构性质(如d带中心)作为描述符,能够把握特定催化剂组中催化活性的总体趋势。然而,热力学方法往往无法考虑EDL中出现的电解质效应,包括pH、阳离子和阴离子效应。这些效应会对电催化反应产生强烈影响。越来越多的人达成共识,即EDL中普遍存在的局部反应环境(LRE)是解读这些复杂且迄今令人困惑的电解质效应的关键。因此,人们越来越关注设计电解质性质,将LRE置于核心地位。为此,阐明LRE对于设计具有特定定制性质的电催化剂变得至关重要,这可能会在电化学能源科学领域带来急需的突破。
理论和建模在解决这个涉及不同尺度物理现象并在多维参数空间中相互作用的多方面问题时变得越来越重要且强大。为此目的开发的理论模型应处理电催化反应的内在多步动力学、从亚纳米尺度到10纳米尺度的EDL效应以及连接从<0.1到100微米尺度的传质现象。鉴于所涉及的物理现象和尺度多种多样,很明显,当前的挑战超出了任何单一理论或计算方法的能力范围。
在本综述中,我们提出了一个层次化的理论框架来应对上述挑战。它无缝集成了几个模块:(i)考虑各种反应途径的微观动力学建模;(ii)描述从纳米级EDL连续延伸到溶液本体的界面区域的LRE模型;(iii)提供参数(如吸附能、活化能垒和EDL参数)的第一性原理计算。微观动力学模型考虑了所有基元步骤,而不指定速率决定步骤。这些基元步骤的动力学根据局部浓度、电势和电场来表示,这些由LRE模型中的EDL充电和传质共同决定。然后回顾了从这个层次化框架中获得的关于电极动力学现象(如电势依赖的塔菲尔斜率、阳离子效应和pH效应)的重要见解。最后,鉴于基于第一性原理的电催化模拟的最新进展、催化剂动态重构的观察以及机器学习辅助的计算模拟,对模型框架的进一步改进进行了展望。