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Free energy barriers from biased molecular dynamics simulations
Kristof M Bal1, Satoru Fukuhara2, Yasushi Shibuta2
1Department of Chemistry and NANOLab Center of Excellence, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium.
This study introduces a gauge correction method to accurately compute free energy barriers from atomistic simulations. This approach ensures consistent free energy barrier calculations, crucial for understanding chemical and physical transformations.
Area of Science:
- Computational Chemistry
- Chemical Physics
- Materials Science
Background:
- Atomistic simulations quantify free energies using collective variables (CVs) to generate free energy surfaces (FES).
- Standard FES methods capture metastable state stability but fail to consistently compute transition state barrier heights due to CV dependence.
- Inconsistent free energy barriers hinder accurate kinetic predictions in chemical and physical processes.
Purpose of the Study:
- To present a simple gauge correction method for consistent free energy barrier calculations.
- To enable accurate computation of transition state barriers from atomistic simulations.
- To improve the reliability of free energy-based kinetic descriptions.
Main Methods:
- Developed a gauge correction procedure to eliminate inconsistencies in FES.
- Utilized reweighting techniques on existing simulated trajectories to obtain both standard and gauge-corrected FES.
- Applied the method to diverse systems: particle in Lennard-Jones fluid, Diels-Alder reaction, and sodium crystallization.
Main Results:
- The gauge correction method successfully produced consistent free energy barriers across different systems.
- Demonstrated accurate capture of chemical and physical transformation kinetics.
- Showcased that FES can be converged on short timescales (sub-nanoseconds).
Conclusions:
- The gauge correction approach provides a robust way to compute reliable free energy barriers.
- This method enhances the utility of FES for studying reaction kinetics, especially at higher levels of theory.
- The technique offers a cost-effective way to improve the accuracy of atomistic simulations for predicting transformation dynamics.
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