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TGMin: An efficient global minimum searching program for free and surface-supported clusters.
Chen, Xin; Zhao, Ya-Fan; Zhang, Yang-Yang; Li, Jun.
Afiliación
  • Chen X; Department of Chemistry and Laboratory of Organic Optoelectronics & Molecular Engineering of the Ministry of Education, Tsinghua University, Beijing 100084, China.
  • Zhao YF; Department of Chemistry and Laboratory of Organic Optoelectronics & Molecular Engineering of the Ministry of Education, Tsinghua University, Beijing 100084, China.
  • Zhang YY; Institute of Applied Physics and Computational Mathematics and CAEP Software Center for High Performance Numerical Simulation, Beijing 100088, China.
  • Li J; Department of Chemistry and Laboratory of Organic Optoelectronics & Molecular Engineering of the Ministry of Education, Tsinghua University, Beijing 100084, China.
J Comput Chem ; 40(10): 1105-1112, 2019 Apr 15.
Article en En | MEDLINE | ID: mdl-30549064
ABSTRACT
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. © 2018 Wiley Periodicals, Inc.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: J Comput Chem Asunto de la revista: QUIMICA Año: 2019 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: J Comput Chem Asunto de la revista: QUIMICA Año: 2019 Tipo del documento: Article País de afiliación: China