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arxiv: 1603.02732 · v2 · pith:TQTVOC34new · submitted 2016-03-08 · ❄️ cond-mat.mtrl-sci

SGO: An ultrafast engine for ab initio atomic structure global optimization by differential evolution

classification ❄️ cond-mat.mtrl-sci
keywords atomicengineglobalsearchclustersconfigurationsdifferentialevolution
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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.

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