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Updated: Nov 20, 2025

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
Published on: September 26, 2016
Classical Wigner model based on a Feynman path integral open polymer
S Karl-Mikael Svensson1, Jens Aage Poulsen1, Gunnar Nyman1
1Department of Chemistry and Molecular Biology, University of Gothenburg, SE 405 30 Gothenburg, Sweden.
A new method improves sampling for the classical Wigner model, aiding quantum nuclear dynamics approximations. This approach shows promise for various potentials and systems, converging towards the Wigner limit.
Area of Science:
- Quantum mechanics
- Computational physics
- Nuclear dynamics
Background:
- The classical Wigner model approximates quantum dynamics of atomic nuclei.
- Accurate sampling of the initial quantum mechanical distribution is crucial for the Wigner model.
Purpose of the Study:
- To introduce and test a novel method for sampling the initial quantum mechanical distribution for the classical Wigner model.
- To evaluate the performance of the new method for various potentials and system dimensions.
Main Methods:
- Developed and tested two versions of a new sampling method.
- Applied the method to one-dimensional quartic oscillators, double well potentials, and multi-dimensional systems coupled to harmonic baths.
- Compared results with the Feynman-Kleinert linearized path integral method.
Main Results:
- Both versions of the new method consistently converge towards the classical Wigner limit.
- Effective convergence was achieved for one-dimensional systems.
- Approximating harmonic bath sampling with classical mechanics significantly enhanced numerical performance for multi-dimensional systems.
- The new method outperformed the Feynman-Kleinert method in reproducing exact classical Wigner results for the double well potential.
Conclusions:
- The new sampling method is a potentially useful tool for approximating quantum nuclear dynamics using the classical Wigner model.
- The method demonstrates good performance, especially for one-dimensional systems, and shows advantages over existing techniques for specific cases.
- Further investigation on other correlation functions and systems is warranted.
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