An efficient method to reconstruct free energy profiles for diffusive processes in transition interface sampling and
Lin Qin1, Christoph Dellago2, Ernst Kozeschnik1
1Institute of Materials Science and Technology, TU Wien, Vienna, Austria.
The Journal of Chemical Physics
|March 10, 2019
Summary
A new Reweighted Partial Path (RPP) method efficiently calculates free energy profiles for diffusive processes using Transition Interface Sampling or Forward Flux Sampling simulations without extra calculations.
Area of Science:
- Computational materials science
- Statistical mechanics
- Chemical physics
Background:
- Calculating free energy profiles is crucial for understanding diffusive processes in materials.
- Existing methods like Transition Interface Sampling (TIS) and Forward Flux Sampling (FFS) can be computationally intensive.
- Simulations often require additional complex calculations, increasing the overall workload.
Purpose of the Study:
- To introduce a novel and efficient Reweighted Partial Path (RPP) method.
- To enable the computation of free energy profiles from single TIS or FFS simulations.
- To avoid the need for supplementary computational techniques.
Main Methods:
- The Reweighted Partial Path (RPP) method utilizes a partial path reweighting strategy.
- It leverages the memory loss assumption inherent in diffusive systems.
- The method derives equilibrium distributions from TIS or FFS trajectories along an order parameter.
Main Results:
- The RPP method successfully computes free energy profiles without requiring reverse TIS or umbrella sampling.
- Its application was demonstrated by calculating the nucleation free energy of copper precipitates in an iron-copper alloy.
- The results showcase the method's efficacy in characterizing early-stage precipitation phenomena.
Conclusions:
- The Reweighted Partial Path (RPP) method offers a simplified and efficient approach to free energy calculations in diffusive systems.
- It reduces computational cost by eliminating the need for additional simulation types.
- RPP provides a valuable tool for studying nucleation and other diffusive processes in materials science.
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