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Published on: April 12, 2019
An Efficient Integrator Scheme for Sampling the (Quantum) Isobaric-Isothermal Ensemble in (Path Integral) Molecular
Weihao Liang1, Sihan Wang1, Cong Wang1,2
1Beijing National Laboratory for Molecular Sciences, Institute of Theoretical and Computational Chemistry, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China.
We developed a unified "middle" scheme for molecular simulations. This method accurately simulates isobaric-isothermal processes, enhancing efficiency in chemical and biological research.
Area of Science:
- Computational Chemistry and Physics
- Molecular Dynamics Simulations
Background:
- Most chemical and biological experiments require controlled pressure and temperature.
- Accurate atomic-level simulation of the isobaric-isothermal ensemble is crucial for understanding microscopic mechanisms.
Purpose of the Study:
- To propose a unified scheme for sampling coordinate and volume distributions in molecular simulations.
- To enable accurate simulation of classical and quantum isobaric-isothermal processes.
Main Methods:
- Extension of an efficient configuration sampling approach for the canonical ensemble.
- Implementation of a unified 'middle' scheme adaptable to various barostats (e.g., Martyna-Tuckerman-Tobias-Klein, stochastic cell-rescaling) and thermostats (e.g., Langevin).
- Integration into popular molecular simulation packages (DL_POLY, AMBER, GROMACS).
Main Results:
- The 'middle' scheme accurately simulates isobaric-isothermal processes.
- It allows for increased simulation time intervals (5-10x) without additional numerical effort.
- Achieves converged results for thermodynamic properties in molecular dynamics simulations.
Conclusions:
- The unified 'middle' scheme provides an efficient and accurate method for isobaric-isothermal molecular simulations.
- It enhances the capability of simulating complex molecular systems under controlled conditions.
- Applicable to both classical and quantum molecular dynamics, including path integral simulations.
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