Code developed for a research project at Umeå universitet focusing on sheared packings of ellipsoids, supervised by Peter Olsson.
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Updated
Nov 5, 2018 - Shell
Code developed for a research project at Umeå universitet focusing on sheared packings of ellipsoids, supervised by Peter Olsson.
Create a consistent, documented pipline and folder structure for self-consistent MD charge optimization.
2D simulation of confluent cell collectives based on a coarse-grained bead-spring model
Wiki of a research project at the University of British Columbia focusing on a simple model of active particles, supervised by Jörg Rottler.
Notes of a research project at Umeå universitet focusing on sheared packings of ellipsoids, supervised by Peter Olsson.
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"
A deep learning approach for particle detection from super-resolution microscopy.
Data from recent publications
Code developed for a research project at the University of British Columbia focusing on a simple model of active particles, supervised by Jörg Rottler.
Iterative training to explore glassy landscapes
Neural functional theory for inhomogeneous fluids: Fundamentals and applications
Python GUI for the quick processing, analysis and plotting of differential dynamic microscopy data
Computational statistical mechanics of field-responsive polymer chains
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
Pychastic is a stochastic differential equations integrator written entirely in python.
Neural functional theory for inhomogeneous fluids - Tutorial
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