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The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
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Published on: August 12, 2013

Ghost-mode filtered fluctuating lattice Boltzmann method.

M Lauricella1, A Montessori2, A Tiribocchi3

  • 1Istituto per le Applicazioni del Calcolo CNR, Via dei Taurini 19, 00185 Rome, Italy.

The Journal of Chemical Physics
|May 20, 2026
PubMed
Summary
This summary is machine-generated.

A new ghost-mode filtered fluctuating lattice Boltzmann method (GMF-FLBM) improves accuracy and stability for soft-matter fluid simulations. This method effectively filters non-hydrodynamic modes, enhancing simulation reliability.

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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

Area of Science:

  • Computational physics
  • Fluid dynamics
  • Soft-matter science

Background:

  • Fluctuating lattice Boltzmann solvers are essential for mesoscopic fluid modeling in soft-matter systems.
  • Accuracy and stability issues arise from non-hydrodynamic modes, particularly in single-relaxation-time schemes.

Purpose of the Study:

  • To introduce a ghost-mode filtered fluctuating lattice Boltzmann method (GMF-FLBM) for the D3Q27 lattice.
  • To address the accuracy and stability limitations of existing methods.

Main Methods:

  • Developed GMF-FLBM by selectively eliminating ghost deterministic content propagation.
  • Preserved essential stochastic forcing within the D3Q27 lattice Boltzmann framework.
  • Evaluated performance across a broad range of relaxation times.

Main Results:

  • GMF-FLBM demonstrated comparable accuracy to high-order formulations in recovering equilibrium fluctuation amplitudes.
  • The method requires only minor modifications to the standard BGK collision framework.
  • Improved stability and accuracy were observed, especially when non-hydrodynamic modes are present.

Conclusions:

  • GMF-FLBM offers a robust and accurate approach for simulating soft-matter fluid dynamics.
  • The method provides a practical improvement over conventional fluctuating lattice Boltzmann solvers.
  • This advancement facilitates more reliable mesoscopic simulations of complex fluids.