Topic: soft-matter Goto Github
Some thing interesting about soft-matter
Some thing interesting about soft-matter
soft-matter,Code to run simulations and produce figures for Bradley et al. 2021, "Droplet trapping in bendotaxis caused by contact angle hysteresis"
User: alextbradley
soft-matter,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
Organization: amepproject
Home Page: https://amepproject.de/
soft-matter,Python GUI for the quick processing, analysis and plotting of differential dynamic microscopy data
User: duxfrederic
Home Page: https://duxfrederic.github.io/ddmsoft/
soft-matter,The ESPResSo package
Organization: espressomd
Home Page: https://espressomd.org
soft-matter,soft matter journal club
User: fengwangphysics
soft-matter,Publication quality path tracing in real time.
Organization: glotzerlab
Home Page: http://fresnel.readthedocs.io
soft-matter,Computational statistical mechanics of field-responsive polymer chains
User: grasingerm
soft-matter,A lattice Boltzmann code for complex fluids
User: ludwig-cf
Home Page: https://ludwig.epcc.ed.ac.uk
soft-matter,Create a consistent, documented pipline and folder structure for self-consistent MD charge optimization.
User: lukaselflein
soft-matter,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++.
User: madgal
soft-matter,The Morpho language 🦋. Morpho is a small embeddable language for scientific computing applications.
Organization: morpho-lang
soft-matter,2D simulation of confluent cell collectives based on a coarse-grained bead-spring model
Organization: phybi
soft-matter,Random And Maximal PACKing PACKage
User: pkua007
soft-matter,Python port of Generalized Rotne Prager Yamakawa hydrodynamic tensors.
User: radostw
Home Page: https://pygrpy.readthedocs.io
soft-matter,All Python package to compute small angle X-ray scattering (SAXS) profiles in one-bead-per-residue approximation with numpy
User: radostw
Home Page: https://saxs-single-bead.readthedocs.io
soft-matter,Pychastic is a stochastic differential equations integrator written entirely in python.
User: radostw
Home Page: https://pychastic.readthedocs.io
soft-matter,Bending Stiffness of Actin Filaments
User: ramy-badr-ahmed
soft-matter,Iterative training to explore glassy landscapes
User: sciarella
soft-matter,Neural functional theory for inhomogeneous fluids: Fundamentals and applications
User: sfalmo
Home Page: https://doi.org/10.1073/pnas.2312484120
soft-matter,Neural functional theory for inhomogeneous fluids - Tutorial
User: sfalmo
Home Page: https://doi.org/10.1088/1361-648X/ad326f
soft-matter,LAMMPS inputs and data files
User: simongravelle
Home Page: https://lammpstutorials.github.io/
soft-matter,Data from recent publications
User: simongravelle
soft-matter,A deep learning approach for particle detection from super-resolution microscopy.
User: wahabk
soft-matter,Code developed for a research project at the University of British Columbia focusing on a simple model of active particles, supervised by Jörg Rottler.
User: yketa
soft-matter,Code developed for a research project at Umeå universitet focusing on sheared packings of ellipsoids, supervised by Peter Olsson.
User: yketa
soft-matter,Wiki of a research project at the University of British Columbia focusing on a simple model of active particles, supervised by Jörg Rottler.
User: yketa
Home Page: https://yketa.github.io/UBC_2018_Wiki
soft-matter,Notes of a research project at Umeå universitet focusing on sheared packings of ellipsoids, supervised by Peter Olsson.
User: yketa
Home Page: https://yketa.github.io/Umea_2017_Wiki
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