PyStokes: phoresis and Stokesian hydrodynamics in Python. github.com/rajeshrinet/pystokes

Code to perform chemical MPCD simulations

A Matlab code for tracking colloidal fluorescent nanoparticles.

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.

Command-line tool for making charged, patchy Particles

This code trains and implements a stochastic physics-informed neural ordinary differential equation (SPINODE) framework on a directed colloidal self-assembly test case.

Python codes for the Countoscope

Polydisperse tunable sequential aggregation (PTSA) method for generating a fractal-like aggregate of spheres

Stokes flow in doubly periodic, partially or fully confined geometries.

A simple simulation of a group of particles in a box, with electromagnetic interactions.

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.

Java software for the analysis of image-based experiments of microprobes in suspension

a series of workflows to operate hoomd-blue; a library to proceed trajectories of particles in 2D and get their structural or dynamic properties

HOOMD-blue version 4.2.1 modified for Rheoinformatic colloid simulations

Mutual Dipolar Model and Micro Mutual Dipolar Model

Simulation of 2D self-assembly driven by depletion force

The Rheoinformatic lab website