This paper presents a fast method for global search of atomic structures at ab initio level. The structures global optimization (SGO) engine consists of a high-efficiency differential evolution algorithm, accelerated local relaxation methods and an ultrafast plane-wave density functional theory code run on GPU machines. It can search the global-minimum configurations of crystals, two-dimensional materials and quantum clusters without symmetry restriction in a very short time (half or several hours). The engine is also able to search the energy landscape of a given system, which is useful for exploration of materials properties for emerging applications. The exploration of carbon monolayer and platinum atomic clusters found several new stable configurations.
@article{arxiv.1603.02732,
title = {SGO: An ultrafast engine for ab initio atomic structure global optimization by differential evolution},
author = {Zhanghui Chen and Weile Jia and Lin-Wang Wang},
journal= {arXiv preprint arXiv:1603.02732},
year = {2017}
}