Data from recent publications
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Updated
May 24, 2024 - Jupyter Notebook
Data from recent publications
The Morpho language 🦋. Morpho is a small embeddable language for scientific computing applications.
The ESPResSo package
Publication quality path tracing in real time.
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
2D simulation of confluent cell collectives based on a coarse-grained bead-spring model
Neural functional theory for inhomogeneous fluids - Tutorial
A deep learning approach for particle detection from super-resolution microscopy.
LAMMPS inputs and data files
A lattice Boltzmann code for complex fluids
Python port of Generalized Rotne Prager Yamakawa hydrodynamic tensors.
Random And Maximal PACKing PACKage
Neural functional theory for inhomogeneous fluids: Fundamentals and applications
Python GUI for the quick processing, analysis and plotting of differential dynamic microscopy data
Pychastic is a stochastic differential equations integrator written entirely in python.
Computational statistical mechanics of field-responsive polymer chains
Iterative training to explore glassy landscapes
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"
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…
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