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Harmonic surface mapping algorithm for molecular dynamics simulations of particle systems with planar dielectric
Jiuyang Liang1, Jiaxing Yuan2, Erik Luijten3
1School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai 200240, China.
We developed an efficient molecular dynamics method for charged particles near dielectric interfaces. This approach accurately simulates electrostatic interactions, enabling new insights into complex fluids.
Area of Science:
- Computational physics
- Physical chemistry
- Materials science
Background:
- Simulating charged particles near dielectric interfaces is crucial for understanding complex fluids.
- Existing methods often struggle with computational efficiency and accuracy for long-range electrostatic interactions.
Purpose of the Study:
- To develop an accurate and efficient computational method for molecular dynamics simulations of charged particles confined by planar dielectric interfaces.
- To address the challenges of long-range electrostatic interactions in such systems.
Main Methods:
- The algorithm combines the image-charge method for near-field interactions with harmonic surface mapping for far-field contributions.
- Far-field charges are represented by a finite set of charges on an auxiliary sphere, approximated using spherical harmonic expansion.
- Dirichlet-to-Neumann boundary conditions are fitted to determine expansion coefficients.
- Green's second identity transforms the series expansion into a spherical integral, enabling the use of the fast multipole method for O(N) complexity.
Main Results:
- The developed method achieves linear O(N) complexity for summing electrostatic interactions.
- The approach accurately captures the electrostatic potential of charged particles under dielectric confinement.
- The method is validated for its efficiency and accuracy in handling complex systems.
Conclusions:
- The novel algorithm provides an accurate and computationally efficient solution for molecular dynamics simulations of charged systems with dielectric interfaces.
- This method is broadly applicable to various charged complex fluids, advancing simulation capabilities in condensed matter physics and chemistry.
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