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Updated: Jan 28, 2026
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A Microfluidic-based Hydrodynamic Trap for Single Particles
Published on: January 21, 2011
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libMobility: A Python library for hydrodynamics at the Smoluchowski level
Ryker Fish1, Adam Carter2, Pablo Diez-Silva3
1Department of Applied Mathematics and Statistics, Colorado School of Mines, Golden, Colorado 80401, USA.
The Journal of Chemical Physics
|January 27, 2026
Summary
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.
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.
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