Nano Research

, Volume 10, Issue 10, pp 3407–3420 | Cite as

TGMin: A global-minimum structure search program based on a constrained basin-hopping algorithm

Research Article
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Abstract

In this article, we introduce Tsinghua Global Minimum (TGMin) as a new program for the global minimum searching of geometric structures of gas-phase or surface-supported atomic clusters, and the constrained basin-hopping (BH) algorithm implemented in this program. To improve the efficiency of the BH algorithm, several types of constraints are introduced to reduce the vast search space, including constraints on the random displacement step size, displacement of low-coordination atoms, and geometrical structure adjustment after displacement. The ultrafast shape-recognition (USR) algorithm and its variants are implemented to identify duplicate structures during the global minimum search. In addition to the Metropolis acceptance criterion, we also implemented a morphology-based constraint that confines the global minimum search to a specific type of morphology, such as planar or non-planar structures, which offers a strict divide-and-conquer strategy for the BH algorithm. These improvements are implemented in the TGMin program, which was developed over the past decade and has been used in a number of publications. We tested our TGMin program on global minimum structural searches for a number of metal and main-group clusters including C60, Au20 and B20 clusters. Over the past five years, the TGMin program has been used to determine the global minimum structures of a series of boron atomic clusters (such as [B26], [B28], [B30], [B35], [B36], [B39], [B40], [MnB16], [CoB18], [RhB18], and [TaB20]), metal-containing clusters Lin (n = 3–20), Au9(CO)8+ and [Cr6O19]2–, and the oxide-supported metal catalyst Au7/γ-Al2O3, as well as other isolated and surface-supported atomic clusters. In this article we present the major features of TGMin program and show that it is highly efficient at searching for global-minimum structures of atomic clusters in the gas phase and on various surface supports.

Keywords

basin hopping ultrafast shape recognition global minimum search density functional theory cluster 

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© Tsinghua University Press and Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.Institute of Applied Physics and Computational MathematicsBeijingChina
  2. 2.CAEP Software Center for High Performance Numerical SimulationBeijingChina
  3. 3.Department of Chemistry and Laboratory of Organic Optoelectronics & Molecular Engineering of the Ministry of EducationTsinghua UniversityBeijingChina

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