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Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
Published on: April 12, 2019
On the convergence improvement in the metadynamics simulations: a Wang-Landau recursion approach
Donghong Min1, Yusong Liu, Irina Carbone
1School of Computational Science, Florida State University, Tallahassee, Florida 32306, USA.
This study introduces an adaptive Gaussian height method for metadynamics simulations. It reconciles simulation speed and accuracy in free energy calculations for chemical processes.
Area of Science:
- Computational Chemistry
- Biophysics
- Molecular Dynamics
Background:
- Metadynamics is a popular simulation method for exploring free energy landscapes in chemical and biochemical processes.
- The size of the updating Gaussian function critically impacts the convergence and accuracy of free energy surfaces.
- Fixed Gaussian heights present a trade-off between simulation speed and the resolution of the free energy surface.
Purpose of the Study:
- To reconcile the conflict between simulation speed and accuracy in metadynamics.
- To develop an adaptive method for updating Gaussian function heights in metadynamics simulations.
- To improve the convergence and resolution of free energy surfaces obtained from metadynamics.
Main Methods:
- Implementation of the Wang-Landau recursion scheme within metadynamics simulations.
- Adaptive updating of the Gaussian function height during simulations.
- Testing the method on both a toy system and a realistic molecular system using hybrid quantum mechanical/molecular mechanical (QMMM) potentials.
Main Results:
- The adaptive method successfully reconciled the trade-off between simulation speed and accuracy.
- Demonstrated faster convergence to accurate free energy surfaces compared to classical metadynamics with fixed Gaussian heights.
- Achieved more decent convergence of free energy surfaces in model studies.
Conclusions:
- The presented adaptive Gaussian height approach offers a significant improvement over traditional metadynamics.
- This method provides a more efficient and accurate way to explore free energy landscapes.
- The approach is effective for both simplified and complex molecular systems, including those requiring QMMM treatment.
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