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Divided Saddle Theory: A New Idea for Rate Constant Calculation.

János Daru1,2, András Stirling1

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Summary

We developed divided saddle theory (DST) to calculate rare event rates using free energy and committor data. This method utilizes standard computational techniques for molecular dynamics simulations.

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Area of Science:

  • Computational chemistry
  • Chemical kinetics
  • Molecular dynamics

Background:

  • Calculating rare event rates is crucial in chemical processes.
  • Existing methods may require specialized computational techniques.
  • Free energy calculations and committor analysis are common simulation outputs.

Purpose of the Study:

  • To introduce a novel theory and algorithm for calculating rare event rates.
  • To provide a method that leverages standard computational techniques.
  • To demonstrate the efficacy of the proposed approach on relevant chemical systems.

Main Methods:

  • Developed divided saddle theory (DST) by dividing the free energy saddle region into domains.
  • Defined auxiliary rate constants within these saddle domains.
  • Employed reweighting techniques to obtain absolute forward and backward rates from simulation data.

Main Results:

  • The DST algorithm successfully obtains rate constants from postprocessed free energy and committor data.
  • The method requires only standard molecular dynamics computational techniques.
  • Demonstrated DST's potential on alanine-dipeptide conformer rearrangement and barbaralane Cope reaction.

Conclusions:

  • Divided saddle theory (DST) offers an accessible and effective approach for rare event rate calculations.
  • The method integrates seamlessly with existing free energy and committor analysis workflows.
  • DST provides a valuable tool for studying complex chemical dynamics in molecular simulations.