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Jupyter Notebook code that analyzes an image or a video compilation of images for colloidal systems. Analyzes pair and triplet correlations, as well as the pair and triplet free energies/potentials of mean force.
BDHM (Brownian Dynamics with Hydrodynamics and Magnetic forces) combines magnetic dipole interactions and hydrodynamics on the point particle level with a heuristic repulsion model for the spatial expansion of the colloids to imitate the dynamics observed in [1] (see the md file) and to act as a proof of concept of the corresponding results.
Brownian Disk Lab (BDL) is a Java-based application for the real-time generation and visualization of the motion of two-dimensional Brownian disks using Brownian Dynamics (BD) simulations
This code trains and implements a characterization framework based on deep learning for characterizing structural states of colloidal self-assembly systems.
This code trains and implements a stochastic physics-informed neural ordinary differential equation (SPINODE) framework on a directed colloidal self-assembly test case.