Related Experiment Video
Updated: Aug 10, 2026
10:16
A Protocol for Real-time 3D Single Particle Tracking
Published on: January 3, 2018
Multiple time step update schemes for dissipative particle dynamics
Ask F Jakobsen1, Gerhard Besold, Ole G Mouritsen
1MEMPHYS-Center for Biomembrane Physics, Physics Department, University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark. ask@memphys.sdu.uk
The Journal of Chemical Physics
|March 11, 2006
Summary
Dual time step algorithms significantly speed up dissipative particle dynamics simulations for soft matter by updating solvent particles less frequently. This method saves computational time without compromising simulation accuracy for systems like lipid bilayers.
Area of Science:
- Computational physics
- Soft matter physics
- Molecular dynamics simulations
Background:
- Simulations of soft matter in solvent often spend significant time updating solvent particles, which are not the primary focus.
- This computational cost limits system size and simulation duration.
Purpose of the Study:
- To develop and evaluate multiple, specifically dual, time step algorithms for dissipative particle dynamics (DPD).
- To accelerate simulations by decoupling the time steps for solvent and solute particles.
Main Methods:
- Implementation of dual time step algorithms based on the velocity-Verlet scheme.
- Application to a coarse-grained model of a lipid bilayer in water.
- Comparison of simulation data with a single time step scheme.
Main Results:
- Demonstrated considerable savings in simulation time using dual time step algorithms.
- Obtained simulation data were virtually identical to the reference single time step scheme within error margins.
Conclusions:
- Dual time step algorithms offer an efficient approach to accelerate DPD simulations of soft matter.
- These algorithms allow for larger system sizes and extended simulation times without loss of accuracy.
Related Concept Videos
01:21Partial Differential Equations
A stone dropped into a still pond generates waves that propagate outward in circular patterns, creating a dynamic surface whose elevation depends on both position and time. At any given location, the water level oscillates as the wave passes, while at any fixed moment, the surface exhibits smooth, curved structures extending across space. This dual dependence requires a mathematical description that accounts for variation in multiple variables simultaneously.At a fixed point on the water...
01:23Equilibrium Conditions for a Particle
When an object is in equilibrium, it is either at rest or moving with a constant velocity. There are two types of equilibrium: static and dynamic. Static equilibrium occurs when an object is at rest, while dynamic equilibrium occurs when an object is moving with a constant velocity. In both cases, there must be a balance of forces acting on the object.
To understand the concept of equilibrium, let us first consider the forces acting on an object. When different forces act on an object, they can...
To understand the concept of equilibrium, let us first consider the forces acting on an object. When different forces act on an object, they can...
01:26Reaction Mechanisms: The Steady-State Approximation
The steady-state approximation, also referred to as the quasi-steady-state approximation to differentiate it from a true steady state, is a widely used method for simplifying calculations in complex reaction mechanisms. This approach is particularly useful when dealing with multi-step reactions that involve reverse reactions or several steps, which can significantly increase mathematical complexity and make the reactions nearly unsolvable analytically.The steady-state approximation operates on...
01:18Second Order systems II
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
If ζ...
If ζ...
01:09Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model
Various dissolution theories provide insight into the factors that influence the dissolution rate. Danckwerts' Model suggests that turbulence, rather than a stagnant layer, characterizes the dissolution medium at the solid-liquid interface. In this model, the agitated solvent contains macroscopic packets that move to the interface via eddy currents, facilitating the absorption and delivery of the drug to the bulk solution. The regular replenishment of solvent packets maintains the concentration...
01:20Types of Damping
If the amount of damping in a system is gradually increased, the period and frequency start to become affected because damping opposes, and hence slows, the back and forth motion (the net force is smaller in both directions). If there is a very large amount of damping, the system does not even oscillate; instead, it slowly moves toward equilibrium. In brief, an overdamped system moves slowly towards equilibrium, whereas an underdamped system moves quickly to equilibrium but will oscillate about...