Year: 2019
Type: article
Abstract: The ab initio computational treatment of electrochemical systems requires an appropriate treatment of the solid/liquid interfaces. A fully quantum mechanical treatment of the interface is computationally demanding due to the large number of degrees of freedom involved. In this work, we develop a computationally efficient model where the electrode part of the interface is described at the density-functional theory (DFT) level, and the electrolyte part is represented through an implicit solvation model based on the Poisson-Boltzmann equation. We describe the implementation of the linearized Poisson-Boltzmann equation into the Vienna Ab initio Simulation Package, a widely used DFT code, followed by validation and benchmarking of the method. To demonstrate the utility of the implicit electrolyte model, we apply it to study the surface energy of Cu crystal facets in an aqueous electrolyte as a function of applied electric potential. We show that the applied potential enables the control of the shape of nanocrystals from an octahedral to a truncated octahedral morphology with increasing potential.
Source: The Journal of Chemical Physics
DOI: 10.1063/1.5132354
Language: English
Subfield: Atomic and Molecular Physics, and Optics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
Awards: G1977399829, CAREER: Coupling Quantum Monte Carlo with implicit solvent models for materials in energy and information technologies, SI2-SSE: Genetic Algorithm Software Package for Prediction of Novel Two-Dimensional Materials and Surface Reconstructions, G5856196502, G7437722364, SI2-SSE: Software for Semiconductor and Electrochemical Interfaces (SSEI), G8589902326
OpenAlex ID: W2981578248
