Better than counting: Density profiles from force sampling
arXiv:1711.00006 · doi:10.1103/PhysRevLett.120.218001
Abstract
Calculating one-body density profiles in equilibrium via particle-based simulation methods involves counting of events of particle occurrences at (histogram-resolved) space points. Here we investigate an alternative method based on a histogram of the local force density. Via an exact sum rule the density profile is obtained with a simple spatial integration. The method circumvents the inherent ideal gas fluctuations. We have tested the method in Monte Carlo, Brownian Dynamics and Molecular Dynamics simulations. The results carry a statistical uncertainty smaller than that of the standard, counting, method, reducing therefore the computation time.
References in corpus (5)
- Phase Coexistence in Driven One Dimensional Transport
- Non-equilibrium sedimentation of colloids on the particle scale
- Superadiabatic forces in Brownian many-body dynamics
- Hard spheres at a planar hard wall: Simulations and density functional theory
- Reentrant Network Formation in Patchy Colloidal Mixtures under Gravity
Cited by in corpus (30)
- Power functional theory for many-body dynamics
- Use the force! Reduced variance estimators for densities, radial distribution functions and local mobilities in molecular simulations
- Perspective: How to overcome dynamical density functional theory
- Structural nonequilibrium forces in driven colloidal systems
- Adaptive Brownian Dynamics
- Force density functional theory in- and out-of-equilibrium
- Custom flow in overdamped Brownian Dynamics
- Noether-Constrained Correlations in Equilibrium Liquids
- Why neural functionals suit statistical mechanics
- Computing three-dimensional densities from force densities improves statistical efficiency
- Force balance in thermal quantum many-body systems from Noether's theorem
- Comparative study of force-based classical density functional theory
- Sampling mobility profiles of confined fluids with equilibrium molecular dynamics simulations
- Gauge Invariance of Equilibrium Statistical Mechanics
- Hyperforce balance via thermal Noether invariance of any observable
- Reduced variance analysis of molecular dynamics simulations by linear combination of estimators
- Neural force functional for non-equilibrium many-body colloidal systems
- Why hyperdensity functionals describe any equilibrium observable
- Local measures of fluctuations in inhomogeneous liquids: Statistical mechanics and illustrative applications
- Challenges in modelling diffusiophoretic transport
- Particle-conserving dynamics on the single-particle level
- Noether invariance theory for the equilibrium force structure of soft matter
- Custom Flow in Molecular Dynamics
- Inhomogeneous steady shear dynamics of a three-body colloidal gel former
- Reduced-variance orientational distribution functions from torque sampling
- Homogeneous and heterogeneous populations of active rods in two-dimensional channels
- Why gauge invariance applies to statistical mechanics
- Gauge invariance and hyperforce correlation theory for equilibrium fluid mixtures
- Determining the chemical potential via universal density functional learning
- High-throughput free energies and water maps for drug discovery by molecular density functional theory