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libMobility: A Python library for hydrodynamics at the Smoluchowski level.

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This study introduces libMobility, a CUDA-enabled software library for simulating fluid-particle interactions. It efficiently models particle mobility and displacements in complex systems using advanced hydrodynamic algorithms.

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Area of Science:

  • Computational physics
  • Fluid dynamics
  • Biophysics

Background:

  • Accurate hydrodynamic modeling is essential for predicting fluid-particle interactions in biophysics and materials science.
  • Developing hydrodynamic algorithms is complex due to fluid dynamics challenges, large computations, and boundary conditions.
  • Adapting algorithms for parallel architectures like GPUs introduces further complexity.

Purpose of the Study:

  • To present the libMobility software library, a suite of CUDA-enabled solvers.
  • To facilitate precise simulations of particle displacements influenced by external forces and torques.
  • To provide efficient tools for researchers in computational fluid dynamics.

Main Methods:

  • Developed CUDA-enabled solvers for simulating hydrodynamic interactions in particulate systems.
  • Implemented the Rotne-Prager-Yamakawa level for simulations.
  • Integrated a Python interface for user accessibility.

Main Results:

  • libMobility effectively handles linear and angular displacements, thermal fluctuations, and diverse domain geometries.
  • The library enables precise simulations of particle displacements, including deterministic and stochastic components.
  • Facilitates efficient particle mobility simulations for researchers.

Conclusions:

  • libMobility offers a powerful and efficient solution for simulating hydrodynamic interactions in particulate systems.
  • The library's GPU acceleration and Python interface enhance accessibility and performance.
  • Enables advanced research in computational fluid dynamics and related fields.