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Path integrals with higher order actions: Application to realistic chemical systems
Lachlan P Lindoy1, Gavin S Huang1, Meredith J T Jordan1
1School of Chemistry, The University of Sydney, Sydney, NSW 2006, Australia.
Higher-order approximations significantly improve path integral Monte Carlo (PIMC) simulations for quantum systems. Numerically optimized Chin action (CA) and Suzuki-Chin action (SCA) formalisms offer substantial efficiency gains for realistic potentials like H2O and HCN-HNC.
Area of Science:
- Computational Quantum Chemistry
- Theoretical Physical Chemistry
- Statistical Mechanics
Background:
- Path Integral Monte Carlo (PIMC) simulations are crucial for determining quantum thermodynamic parameters.
- Standard PIMC methods become computationally intensive for highly quantum systems.
- Higher-order approximations to the thermal density matrix action can enhance PIMC efficiency.
Purpose of the Study:
- To compare the efficiency of different approximations to the action in PIMC simulations.
- To investigate the performance of numerically optimized higher-order actions for realistic molecular systems.
- To assess the impact of parameter choices on the efficiency of advanced PIMC methods.
Main Methods:
- Applied PIMC simulations using the primitive approximation (PA), Takahashi-Imada action (TIA), Suzuki-Chin action (SCA), and Chin action (CA).
- Utilized spectroscopically accurate potential energy surfaces for H2O and HCN-HNC, including three-body interactions.
- Numerically optimized parameters for the SCA and CA formalisms for each potential.
Main Results:
- Optimized Chin action (CA) demonstrated approximately twice the efficiency of Takahashi-Imada action (TIA) and an order of magnitude improvement over primitive approximation (PA).
- Optimized Suzuki-Chin action (SCA) showed comparable efficiency to CA for HCN-HNC but was less efficient than TIA for H2O at low temperatures.
- Optimal CA parameter (a1 ≈ 13) and SCA parameter (α ≈ 0.31) were identified, with significant performance degradation upon poor parameter selection.
Conclusions:
- Numerical optimization of SCA and CA parameters is essential for maximizing efficiency gains in PIMC simulations of realistic quantum systems.
- The harmonic approximation for CA parameters is suboptimal compared to numerically optimized values for these potentials.
- Optimized higher-order actions, particularly CA, offer significant computational advantages for quantum thermodynamic calculations.
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