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Area of Science:

  • Computational Chemistry
  • Chemical Kinetics
  • Reaction Network Construction

Background:

  • Sampled structure sequences from simulations offer insights into chemical reactivity.
  • These sequences are crucial for building reaction networks needed for kinetic analysis.
  • Manual extraction of data from reaction paths is impractical for complex systems.

Purpose of the Study:

  • To develop an automated method for processing sampled structure sequences.
  • To enable the on-the-fly construction of exploration networks from simulation data.
  • To facilitate efficient kinetic analysis of chemical systems.

Main Methods:

  • Developed an efficient path processing scheme.
  • Approximated explored paths as continuous basis-spline curves.
  • Focused on automating extraction and relaxation processes in real-time quantum chemistry.

Main Results:

  • An efficient scheme for on-the-fly construction of exploration networks was established.
  • The method allows for automated processing of sampled structure sequences.
  • Facilitates the extraction of stable chemical structures and transition states.

Conclusions:

  • The described path processing scheme offers an automated solution for analyzing chemical reactivity data.
  • This automation is essential for handling large and complex reaction networks.
  • Enables more efficient kinetic analysis in computational chemistry.