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Zero-cost corrections to influence functional coefficients from bath response functions.

Amartya Bose1

  • 1Department of Chemistry, Princeton University, Princeton, New Jersey 08544, USA.

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|August 6, 2022
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Summary
This summary is machine-generated.

This study introduces a new method to calculate influence functional coefficients directly from classical simulations, improving accuracy at lower temperatures without extra computational cost. The enhanced approach utilizes Kubo formalism for broader applicability in system-solvent simulations.

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Area of Science:

  • Computational Chemistry
  • Quantum Dynamics
  • Statistical Mechanics

Background:

  • Direct calculation of discretized influence functional coefficients from classical trajectories is possible but limited by high-temperature approximations.
  • Existing methods require accurate spectral density calculations, which can be computationally intensive.

Purpose of the Study:

  • To develop an alternative derivation for influence functional coefficients using Kubo formalism.
  • To introduce correction terms that extend the applicability of the direct calculation method to lower temperatures.
  • To enable direct use of correlation functions from advanced molecular dynamics methods.

Main Methods:

  • Derivation based on the Kubo formalism.
  • Calculation of additional correction terms for influence functional coefficients.
  • Investigation of accuracy across various parameters for both original and corrected procedures.

Main Results:

  • The Kubo formalism-based approach allows for correction terms that improve accuracy at lower temperatures.
  • The method directly incorporates correlation functions from ring-polymer molecular dynamics and centroid molecular dynamics.
  • Correction terms are obtained at no additional computational cost and can be further refined.

Conclusions:

  • The enhanced method extends the applicability of direct influence functional coefficient calculation to lower temperatures.
  • This approach offers a computationally efficient and accurate way to incorporate system-solvent interactions.
  • Further improvements are possible with minimal additional effort, enhancing the method's practical utility.