4.8 Article

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

Journal

NANO RESEARCH
Volume 10, Issue 10, Pages 3407-3420

Publisher

TSINGHUA UNIV PRESS
DOI: 10.1007/s12274-017-1553-z

Keywords

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

Funding

  1. National Key Research and Development Program of China [2016YFB0201203]
  2. National High-tech RAMP
  3. D Program of China [2015AA01A304]
  4. National Basic Research Program of China [2013CB834603]
  5. National Natural Science Foundation of China [21433005, 91426302, 21521091, 21590792]

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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 C-60, Au-20 and B-20 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 [B-26](-), [B-28](-), [B-30](-), [B-35](-), [B-36](-), [B-39](-), [B-40](-), [MnB16](-), [CoB18](-), [RhB18](-), and [TaB20](-)), metal-containing clusters Li (n) (n = 3-20), Au-9(CO)(8) (+) and [Cr6O19](2-), and the oxide-supported metal catalyst Au-7/gamma-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.

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