a series of workflows to operate hoomd-blue; a library to proceed trajectories of particles in 2D and get their structural or dynamic properties
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Updated
Sep 26, 2024 - Python
a series of workflows to operate hoomd-blue; a library to proceed trajectories of particles in 2D and get their structural or dynamic properties
This code trains and implements a characterization framework based on deep learning for characterizing structural states of colloidal self-assembly systems.
A simple simulation of a group of particles in a box, with electromagnetic interactions.
Simulation of 2D self-assembly driven by depletion force
Brush-mediated angular constraints in colloidal depletion gels
Soft-matter particle analysis for optically driven 2D colloidal crystals
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