Department of Materials Science and Engineering, Rensselaer Polytechnic Institute, 110 8th St, Troy, New York 12180, USA.
National Institute of Standards and Technology, Material Measurement Laboratory, 100 Bureau Dr, Gaithersburg, Maryland 20899, USA.
J Chem Phys. 2017 Feb 28;146(8):084111. doi: 10.1063/1.4976971.
Ab initio modeling of electrochemical systems is becoming a key tool for understanding and predicting electrochemical behavior. Development and careful benchmarking of computational electrochemical methods are essential to ensure their accuracy. Here, using charging curves for an electrode in the presence of an inert aqueous electrolyte, we demonstrate that most continuum models, which are parameterized and benchmarked for molecules, anions, and cations in solution, undersolvate metal surfaces, and underestimate the surface charge as a function of applied potential. We examine features of the electrolyte and interface that are captured by these models and identify improvements necessary for realistic electrochemical calculations of metal surfaces. Finally, we reparameterize popular solvation models using the surface charge of Ag(100) as a function of voltage to find improved accuracy for metal surfaces without significant change in utility for molecular and ionic solvation.
电化学系统的从头建模正在成为理解和预测电化学行为的关键工具。开发和仔细基准测试计算电化学方法对于确保其准确性至关重要。在这里,我们使用惰性水性电解质存在下电极的充电曲线,证明了大多数连续体模型,这些模型是针对溶液中的分子、阴离子和阳离子以及参数化和基准测试的,对金属表面欠溶,并且低估了表面电荷作为施加电势的函数。我们研究了这些模型所捕捉的电解质和界面的特征,并确定了实现金属表面现实电化学计算所需的改进。最后,我们使用 Ag(100)的表面电荷作为电压的函数重新参数化流行的溶剂化模型,以找到金属表面的改进准确性,而分子和离子溶剂化的实用性没有显著变化。