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Improved reweighting protocols for variationally enhanced sampling simulations with multiple walkers.

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Enhanced reweighting protocols for variationally enhanced sampling (VES) simulations improve accuracy and speed. Cooperative walkers offer rapid convergence, while integrating up to time t benefits smaller ensembles.

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Area of Science:

  • Computational Chemistry
  • Molecular Dynamics Simulations
  • Enhanced Sampling Techniques

Background:

  • Reweighting is crucial for accurate ensemble averages in molecular dynamics (MD) simulations.
  • Variationally Enhanced Sampling (VES) is an enhanced sampling technique requiring effective reweighting protocols.
  • Existing reweighting methods, particularly for metadynamics, have limitations in efficiency and applicability.

Purpose of the Study:

  • To develop and evaluate enhanced reweighting protocols for VES simulations.
  • To explore novel strategies for calculating bias-correction functions in multiple-walker VES.
  • To compare the performance of different reweighting options for accuracy and computational speed.

Main Methods:

  • Adaptation of a recent reweighting method from metadynamics to VES simulations.
  • Implementation of multiple-walker VES with independent and cooperative walker strategies.
  • Assessment of four reweighting options based on integration limits and walker strategies.
  • Validation using well-tempered VES on model systems: dipeptide conformational change and liquid water perturbation.

Main Results:

  • Large cooperative walker ensembles demonstrated the most rapid convergence, irrespective of integration limits.
  • Integrating the bias-correction function up to time *t* was advantageous for smaller walker ensembles.
  • The novel reweighting method outperformed standard VES reweighting and existing metadynamics reweighting techniques.
  • Analytical solutions for the bias-correction function were derived, offering further computational gains.

Conclusions:

  • The proposed enhanced reweighting protocols significantly improve the efficiency and accuracy of VES simulations.
  • Cooperative multi-walker strategies are particularly effective for accelerating convergence in enhanced sampling.
  • Analytical solutions provide a pathway for further optimization of reweighting in molecular dynamics.