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Artifacts in dynamical simulations of coarse-grained model lipid bilayers
Ask F Jakobsen1, Ole G Mouritsen, Gerhard Besold
1MEMPHYS-Center for Biomembrane Physics, Physics Department, University of Southern Denmark, Odense, Denmark.
The Journal of Chemical Physics
|June 11, 2005
Summary
Investigating dissipative particle dynamics (DPD) simulations of soft matter, this study identifies artifacts in coarse-grained models. A novel fingerprint method is proposed to detect these simulation artifacts, improving model reliability.
Area of Science:
- Computational physics and chemistry
- Soft matter physics
- Molecular dynamics simulations
Background:
- Coarse-grained particle-based models are crucial for simulating complex soft matter systems like lipid bilayers.
- Dissipative Particle Dynamics (DPD) is a common simulation technique for such systems.
- Potential artifacts in DPD simulations can compromise the accuracy of results.
Purpose of the Study:
- To investigate the occurrence and nature of artifacts in DPD simulations of anisotropic and complex soft matter.
- To evaluate the impact of different integration schemes and thermostatting methods on simulation results.
- To develop a method for detecting simulation artifacts.
Main Methods:
- Utilized dissipative particle dynamics (DPD) simulations.
- Employed coarse-grained models with soft repulsive forces, harmonic bonds, and bending potentials.
- Compared two update schemes: DPD with a velocity-Verlet-like integrator and Lowe-Andersen thermostatting with a standard velocity-Verlet algorithm.
- Varied the integration time step to analyze physical quantities like pressure profiles and kinetic bead temperatures.
Main Results:
- Identified sensitivity of pressure profiles and kinetic bead temperatures to artifacts arising from specific integration and thermostat combinations.
- Demonstrated that the choice of integration scheme and thermostat significantly influences simulation outcomes.
- Observed distinct artifact signatures under different simulation conditions.
Conclusions:
- DPD simulations of soft matter are susceptible to artifacts that depend on the numerical methods employed.
- A simple fingerprint method has been developed to effectively monitor and identify these simulation artifacts.
- The proposed method aids in ensuring the reliability and accuracy of coarse-grained simulations.