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Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
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Predicting reaction coordinates in energy landscapes with diffusion anisotropy.

Pratyush Tiwary1, B J Berne1

  • 1Department of Chemistry, Columbia University, New York, New York 10027, USA.

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This study introduces an enhanced method for identifying optimal reaction coordinates in molecular dynamics simulations. The approach accurately determines the best coordinate by incorporating both static and dynamic information, improving predictions for complex systems.

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Area of Science:

  • Computational Chemistry
  • Statistical Mechanics
  • Molecular Dynamics Simulations

Background:

  • Understanding molecular dynamics in systems with metastable states is crucial for predicting chemical reactions and material properties.
  • Identifying an accurate reaction coordinate is essential for efficient molecular dynamics simulations, especially in high friction regimes.
  • Diffusion anisotropy significantly complicates the determination of optimal reaction coordinates.

Purpose of the Study:

  • To investigate the dependence of the optimal reaction coordinate on diffusion anisotropy in model potentials.
  • To extend the Spectral Gap Optimization of Order Parameters (SGOOP) method to incorporate dynamical observables.
  • To accurately determine the best reaction coordinate for systems with arbitrary anisotropies.

Main Methods:

  • Utilized the Spectral Gap Optimization of Order Parameters (SGOOP) method, previously developed by the authors.
  • Incorporated both static and dynamic information about observables into the SGOOP framework.
  • Simulated molecular dynamics in the high friction regime with a thermal bath for various model potentials.

Main Results:

  • Demonstrated that the enhanced SGOOP method can accurately determine the optimal reaction coordinate even with significant diffusion anisotropy.
  • Showcased the successful integration of dynamical observables, leading to improved accuracy compared to methods relying solely on static information.
  • Validated the findings through comparisons with transmission coefficient calculations and existing benchmark data.

Conclusions:

  • The enhanced SGOOP method provides a robust and accurate approach for identifying optimal reaction coordinates in complex molecular systems.
  • This method offers significant advantages for simulating systems with anisotropic diffusion and metastable states.
  • The ability to incorporate dynamical information broadens the applicability and predictive power of SGOOP for molecular simulations.