TGMin: An efficient global minimum searching program for free and surface-supported clusters

被引:52
作者
Chen, Xin [1 ,2 ]
Zhao, Ya-Fan [1 ,2 ,3 ,4 ]
Zhang, Yang-Yang [1 ,2 ]
Li, Jun [1 ,2 ]
机构
[1] Tsinghua Univ, Dept Chem, Beijing 100084, Peoples R China
[2] Tsinghua Univ, Lab Organ Optoelect & Mol Engn, Minist Educ, Beijing 100084, Peoples R China
[3] Inst Appl Phys & Computat Math, Beijing 100088, Peoples R China
[4] CAEP Software Ctr High Performance Numer Simulat, Beijing 100088, Peoples R China
基金
中国国家自然科学基金;
关键词
Basin-Hopping; photoelectron spectroscopy; boron clusters; TGMin; ULTRAFAST SHAPE-RECOGNITION; POTENTIAL-ENERGY SURFACES; DENSITY-FUNCTIONAL THEORY; BOND COVALENT RADII; STRUCTURE PREDICTION; CRYSTAL-STRUCTURE; WALKING METHOD; GEOMETRY OPTIMIZATION; PLANAR STRUCTURES; PATHWAY;
D O I
10.1002/jcc.25649
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In this article, we introduce an efficient global-minimum structural search program named Tsinghua Global Minimum 2 (TGMin-2), which is the successor of the original TGMin algorithm that was developed in our group in 2011. We have introduced a number of new features and improvements into TGMin-2, including a symmetric structure generation algorithm that can produce good initial seeds for small- and medium-size clusters, the duplicated structure identification algorithm, and the improved structure adaption algorithm that was implemented in the original TGMin code. To predict the simulated photoelectron spectrum (PE spectrum) automatically, we also implemented a standalone program named AutoPES (Auto Photoelectron Spectroscopy), which can be used to simulate PE spectra and compare them with experimental results automatically. We have demonstrated that TGMin-2 and AutoPES are powerful tools for studying free and surface-supported molecules, clusters, and nanoclusters. (c) 2018 Wiley Periodicals, Inc.
引用
收藏
页码:1105 / 1112
页数:8
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