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

Xin Chen1, Ya-Fan Zhao1,2, Yang-Yang Zhang1

  • 1Department of Chemistry and Laboratory of Organic Optoelectronics & Molecular Engineering of the Ministry of Education, Tsinghua University, Beijing 100084, China.

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|December 15, 2018
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Summary
This summary is machine-generated.

This study presents TGMin-2, an efficient global-minimum structural search program, and AutoPES for simulating photoelectron spectra. These tools aid in studying molecules, clusters, and nanoclusters.

Keywords:
Basin-HoppingTGMinboron clustersphotoelectron spectroscopy

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Area of Science:

  • Computational Chemistry
  • Materials Science
  • Spectroscopy

Background:

  • Accurate determination of global minimum structures is crucial for understanding material properties.
  • Previous algorithms like TGMin (2011) provided a foundation for structural searches.
  • Simulating photoelectron spectra aids in experimental validation and structural elucidation.

Purpose of the Study:

  • Introduce TGMin-2, an enhanced global-minimum structural search program.
  • Present AutoPES, a tool for automated simulation and comparison of photoelectron spectra.
  • Demonstrate the utility of TGMin-2 and AutoPES for molecular and cluster studies.

Main Methods:

  • Developed TGMin-2 with improved algorithms: symmetric structure generation, duplicate structure identification, and structure adaptation.
  • Implemented AutoPES for automated simulation of photoelectron spectra.
  • Applied TGMin-2 and AutoPES to study free and surface-supported molecules, clusters, and nanoclusters.

Main Results:

  • TGMin-2 incorporates novel algorithms for efficient and accurate structural searches.
  • AutoPES enables automated prediction and comparison of photoelectron spectra with experimental data.
  • The combined tools effectively analyze complex molecular and cluster systems.

Conclusions:

  • TGMin-2 and AutoPES are powerful computational tools for materials research.
  • These programs facilitate the study of structural properties and spectroscopic signatures of various nanoscale systems.
  • The developed methods advance the field of computational chemistry and materials discovery.