Ecosyste.ms: Repos
An open API service providing repository metadata for many open source software ecosystems.
GitHub topics: soft-matter
espressomd/espresso
The ESPResSo package
Language: C++ - Size: 152 MB - Last synced: 2 days ago - Pushed: 3 days ago - Stars: 218 - Forks: 181
glotzerlab/fresnel
Publication quality path tracing in real time.
Language: C++ - Size: 19.5 MB - Last synced: 6 days ago - Pushed: 6 days ago - Stars: 107 - Forks: 8
simongravelle/publication-data
Data from recent publications
Language: Jupyter Notebook - Size: 101 MB - Last synced: 9 days ago - Pushed: 9 days ago - Stars: 2 - Forks: 0
amepproject/amep
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
Language: Python - Size: 36.6 MB - Last synced: 21 days ago - Pushed: 21 days ago - Stars: 2 - Forks: 1
PhyBi/Collective-Cell-Dynamics
2D simulation of confluent cell collectives based on a coarse-grained bead-spring model
Language: Fortran - Size: 596 KB - Last synced: 23 days ago - Pushed: 23 days ago - Stars: 0 - Forks: 0
Morpho-lang/morpho
The Morpho language 🦋. Morpho is a small embeddable language for scientific computing applications.
Language: C - Size: 152 MB - Last synced: 29 days ago - Pushed: 29 days ago - Stars: 26 - Forks: 9
ludwig-cf/ludwig
A lattice Boltzmann code for complex fluids
Language: C - Size: 186 MB - Last synced: 4 days ago - Pushed: 5 days ago - Stars: 53 - Forks: 34
sfalmo/NeuralDFT-Tutorial
Neural functional theory for inhomogeneous fluids - Tutorial
Language: Jupyter Notebook - Size: 9.94 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 6 - Forks: 0
RadostW/saxs_single_bead
All Python package to compute small angle X-ray scattering (SAXS) profiles in one-bead-per-residue approximation with numpy
Language: Python - Size: 1.15 MB - Last synced: 26 days ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0
simongravelle/lammps-input-files
LAMMPS inputs and data files
Size: 131 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 202 - Forks: 85
wahabk/colloidoscope
A deep learning approach for particle detection from super-resolution microscopy.
Language: HTML - Size: 382 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 2 - Forks: 0
PKua007/rampack
Random And Maximal PACKing PACKage
Language: C++ - Size: 4.84 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 1 - Forks: 1
duxfrederic/ddmsoft
Python GUI for the quick processing, analysis and plotting of differential dynamic microscopy data
Language: Python - Size: 1.37 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 4 - Forks: 0
sfalmo/NeuralDFT
Neural functional theory for inhomogeneous fluids: Fundamentals and applications
Language: Python - Size: 160 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0
RadostW/stochastic
Pychastic is a stochastic differential equations integrator written entirely in python.
Language: Python - Size: 13.8 MB - Last synced: 13 days ago - Pushed: 7 months ago - Stars: 8 - Forks: 3
yketa/UBC_2018_Wiki
Wiki of a research project at the University of British Columbia focusing on a simple model of active particles, supervised by Jörg Rottler.
Language: HTML - Size: 371 MB - Last synced: 10 months ago - Pushed: almost 5 years ago - Stars: 0 - Forks: 1
yketa/active_particles
Code developed for a research project at the University of British Columbia focusing on a simple model of active particles, supervised by Jörg Rottler.
Language: Python - Size: 695 KB - Last synced: 10 months ago - Pushed: almost 5 years ago - Stars: 2 - Forks: 2
yketa/shear_ellipsoids
Code developed for a research project at Umeå universitet focusing on sheared packings of ellipsoids, supervised by Peter Olsson.
Language: Shell - Size: 99.6 KB - Last synced: 10 months ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0
yketa/Umea_2017_Wiki
Notes of a research project at Umeå universitet focusing on sheared packings of ellipsoids, supervised by Peter Olsson.
Language: HTML - Size: 6.44 MB - Last synced: 10 months ago - Pushed: about 4 years ago - Stars: 0 - Forks: 0
SCiarella/TLS_ML_exploration
Iterative training to explore glassy landscapes
Language: Python - Size: 192 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 2 - Forks: 0
RadostW/PyGRPY
Python port of Generalized Rotne Prager Yamakawa hydrodynamic tensors.
Language: Python - Size: 84 KB - Last synced: 15 days ago - Pushed: 4 months ago - Stars: 1 - Forks: 2
madgal/VoronoiAnalysis
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 easily to suit other polymers/protiens. The MDAnalysis library is used for parsing trajectories. Voronio polygons are created using the pyvoro wrapper of Voro++.
Language: Python - Size: 147 KB - Last synced: 7 months ago - Pushed: about 2 years ago - Stars: 6 - Forks: 1
grasingerm/polymer-stats
Computational statistical mechanics of field-responsive polymer chains
Language: Julia - Size: 129 KB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 3 - Forks: 3
alextbradley/Contact-angle-hysteresis-PRF
Code to run simulations and produce figures for Bradley et al. 2021, "Droplet trapping in bendotaxis caused by contact angle hysteresis"
Language: MATLAB - Size: 11.3 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0
lukaselflein/charge_optimization_folderstructure
Create a consistent, documented pipline and folder structure for self-consistent MD charge optimization.
Language: Python - Size: 655 KB - Last synced: about 1 year ago - Pushed: almost 5 years ago - Stars: 0 - Forks: 0
fengwangPhysics/soft-matter-journal-club
soft matter journal club
Size: 4.54 MB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0