Bias-dependent diffusion of HO molecules on an Al(111) surface
arXiv:2012.10090 · doi:10.1103/PhysRevMaterials.5.065001
Abstract
We investigate the process by which a water molecule diffuses on the surface of an Al(111) electrode under constant bias voltage by first-principles density functional theory. To understand the diffusion path of the water on the Al(111), we calculated the minimum energy path (MEP) determined by the nudged elastic band method in combination with constant electron chemical potential (constant-) methods. The simulation shows that the MEP of the water molecule, its adsorption site, and the activation barrier strongly depend on the applied bias voltage. This strong dependence of the water diffusion process on the bias voltage is in good agreement with the result of a previous scanning tunneling microscopy (STM) experiment. The agreement between the theoretical and experimental results implies that accurate treatment of bias voltage plays a significant role in understanding the interaction between the electric field and the surface of the material. Comparative studies of the diffusion process with the constant total number of electrons (constant-) scheme show that the absence of strong interaction between the molecular dipole and the electric field leads to a different understanding of how water diffuses on a metal surface. The proposed constant- scheme is a realistic tool for the simulation of reactions under bias voltage not only using STM but also at the electrochemical interface.
References in corpus (7)
- Quantum ESPRESSO: a modular and open-source software project for quantum simulations of materials
- Advanced capabilities for materials modelling with Quantum ESPRESSO
- Reversible Work Transiton State Theory: Application to Dissociative Adsorption of Hydrogen
- A molecular perspective of water at metal interfaces
- Inelastic transport theory from first-principles: methodology and applications for nanoscale devices
- Grand canonical electronic density-functional theory: algorithms and applications to electrochemistry
- Improving Accuracy of Electrochemical Capacitance and Solvation Energetics in First-Principles Calculations