The ESPResSo package

LAMMPS inputs and data files

Publication quality path tracing in real time.

A lattice Boltzmann code for complex fluids

The Morpho language 🦋. Morpho is a small embeddable language for scientific computing applications.

Pychastic is a stochastic differential equations integrator written entirely in python.

Neural functional theory for inhomogeneous fluids - Tutorial

Python code that can be used to analyze molecular dynamics simulations of proteins/polymers solvated in water. The first and second hydration shells are calculated, the molecular volume, the partial molar volume, and the number of waters associated with each side chain are calculated. This is specifically for PNIPAM but can be modified fairly ea…

The Active Matter Evaluation Package (AMEP) - a Python library for the analysis of particle-based and continuum simulation data of soft and active matter systems

Computational statistical mechanics of field-responsive polymer chains

Iterative training to explore glassy landscapes

Python GUI for the quick processing, analysis and plotting of differential dynamic microscopy data

Neural functional theory for inhomogeneous fluids: Fundamentals and applications

Code developed for a research project at the University of British Columbia focusing on a simple model of active particles, supervised by Jörg Rottler.

A deep learning approach for particle detection from super-resolution microscopy.

Data from recent publications

Python port of Generalized Rotne Prager Yamakawa hydrodynamic tensors.

Random And Maximal PACKing PACKage

All Python package to compute small angle X-ray scattering (SAXS) profiles in one-bead-per-residue approximation with numpy

Code to run simulations and produce figures for Bradley et al. 2021, "Droplet trapping in bendotaxis caused by contact angle hysteresis"