4.6 Article

Enhancing DFT-based energy landscape exploration by coupling quantum mechanics and static modes

Journal

PHYSICAL CHEMISTRY CHEMICAL PHYSICS
Volume 24, Issue 19, Pages 12011-12026

Publisher

ROYAL SOC CHEMISTRY
DOI: 10.1039/d1cp03562b

Keywords

-

Funding

  1. [P18039]

Ask authors/readers for more resources

This article presents a method that combines the Static Mode approach with Quantum Mechanics calculations to guide the exploration of energy landscape and reduce computational time and human effort. The coupling of QMSM allows for screening and selection of relevant directions to study diffusion in atomic systems.
Unravelling the atomic scale diffusion that can occur at the surface, at the interface or into the bulk is challenging: multi-scale modelling approaches usually require intensive prospective calculations and moreover huge human investment. In this article, the Static Mode (SM) approach is coupled with Quantum Mechanics (QM) calculations in order to guide the exploration of the energy landscape, by optimizing the choice of events that are significant for the evolution of the system. SM enable the determination of the strain field of a set of atoms submitted to external and localized stresses, like atomic displacements. Here, we present a workflow based on the systematic SM exploration, with the objective to reduce both exploration time and human load when used with ab initio level calculations. The QMSM coupling allows the screening, scoring and selection of relevant directions that are further used to initiate and study diffusion in atomic systems. The most relevant deformations are then refined and relaxed with DFT calculations. In this paper, the overall QMSM approach is described and we discuss its use for the identification of atomic diffusion in two different systems of interest: grafting of a molecule on an oxide surface and studying the dynamical behavior of a point-defect in a bulk crystalline material.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available