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Implementation and performance of the artificial force induced reaction method in the GRRM17 program.

Satoshi Maeda1, Yu Harabuchi1,2, Makito Takagi3

  • 1Department of Chemistry, Faculty of Science, Hokkaido University, Sapporo, 060-0810, Japan.

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|November 15, 2017
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Summary

The artificial force induced reaction (AFIR) method is enhanced in GRRM17 with new algorithms for automated reaction path searches. This computational chemistry tool aids in exploring complex chemical reaction networks and minimum energy structures.

Keywords:
QM/MMintrinsic reaction coordinatenonadiabatic transitionpotential energy surfacetransition state

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Area of Science:

  • Computational Chemistry
  • Chemical Reaction Dynamics
  • Theoretical Chemistry

Background:

  • The artificial force induced reaction (AFIR) method automates the search for reaction pathways.
  • Previous versions of the GRRM program (GRRM14) featured the multicomponent AFIR (MC-AFIR) algorithm.
  • Automated reaction path searching is crucial for understanding complex chemical transformations.

Discussion:

  • GRRM17 introduces single-component AFIR (SC-AFIR) for global reaction path network generation and double-sphere AFIR (DS-AFIR) for specific path finding.
  • The implementation includes exploring minimum energy structures on degenerate electronic state hypersurfaces.
  • An interface with quantum mechanics/molecular mechanics (QM/MM) methods is also detailed.

Key Insights:

  • GRRM17 offers three distinct AFIR algorithms (MC-AFIR, SC-AFIR, DS-AFIR) for diverse reaction path searches.
  • New functionalities enable automated exploration of reaction networks and specific pathways.
  • The SAFIRE software provides visualization for complex reaction path networks.

Outlook:

  • Further development of automated reaction path search methods is expected.
  • Integration with QM/MM methods will enhance the study of complex systems.
  • Advanced visualization tools like SAFIRE will improve the analysis of computational chemistry results.