Recent progresses of global minimum searches of nanoclusters with a constrained Basin-Hopping algorithm in the TGMin program

被引:83
作者
Chen, Xin [1 ,2 ]
Zhao, Ya-Fan [3 ,4 ]
Wang, Lai-Sheng [5 ]
Li, Jun [1 ,2 ]
机构
[1] Tsinghua Univ, Dept Chem, Beijing 100084, Peoples R China
[2] Tsinghua Univ, Key Lab Organ Optoelect & Mol Engn, Minist Educ, Beijing 100084, Peoples R China
[3] Inst Appl Phys & Computat Math, Beijing 10088, Peoples R China
[4] CAEP Software Ctr High Performance Numer Simulat, Beijing 10088, Peoples R China
[5] Brown Univ, Dept Chem, Providence, RI 02912 USA
基金
国家高技术研究发展计划(863计划); 美国国家科学基金会;
关键词
Global minimum search; Boron clusters; Borophenes; Borospherenes; Metal-doped boron clusters; Gold clusters; ULTRAFAST SHAPE-RECOGNITION; POTENTIAL-ENERGY SURFACE; BOND COVALENT RADII; PLANAR STRUCTURES; BORON CLUSTERS; OPTIMIZATION; PREDICTION; PATHWAY; MOTIF;
D O I
10.1016/j.comptc.2016.12.028
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Finding the global minima of nanoclusters is of great importance in cluster science and nanoscience. We have developed an efficient global minimum search program, named Tsinghua Global Minimum (TGMin, first released in 2012), based on the Basin-Hopping algorithm to find the global minima of nanoclusters, as well as periodic systems. We have recently made several improvements to the original Basin-Hopping algorithm, including a constrained perturbation function, a covalent-radius-based relaxation algorithm, an improved ultrafast shape recognition algorithm, and a planeness-check mechanism. The TGMin program has been successfully applied to search the global minima of a number of nanoclusters and periodic structures, including B-30, B-35, B-36, B-30, B-40, CoBm, RhBjs, MnBm, and Au-7 on the alpha-Al2O3(0001) surface. An overview of the TGMin code and several of its recent applications are presented here. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:57 / 65
页数:9
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