Library for diffusion trajectory analysis
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Updated
May 4, 2017 - Java
Library for diffusion trajectory analysis
Two solutions, written in MATLAB, for solving the viscous Burger's equation. They are both spectral methods: the first is a Fourier Galerkin method, and the second is Collocation on the Tchebyshev-Gauß-Lobatto points.
Framework for the Simulation of Temperature Dependent Semiconductor Parameters in Silicon Solar Cells and their Respective Impact on the Current Density-Voltage Characteristic
Implementation of corrections for diffusion coefficients in membrane simulations.
Python code to fit single-angle dynamic light scattering data using the Tikhonov Philips regularisation
EntropyScaling.jl provides methods for modeling transport properties (viscosity, thermal conductivity, diffusion coefficients) based on entropy scaling and the Chapman-Enskog theory.
Scripts for the analysis of interface-perpendicular diffusion in confined film or slit-pore geometries
NanoTrackJ is an ImageJ/Fiji plugin to characterize the size of nanoparticles by its diffusion trajectories.
Analyze experimental tracking data using a maximum likelihood estimator (MLE) to extract translational diffusion coefficients.
Tool for calculating swelling tablet eroding front's diffusion rate D and the rate of the swelling k from time series of either T2-maps or MRI images in FDF or Text Image format. (Python 3)
Determines the diffusion coefficient of chloride through concrete by least-squares fitting
Calculate position-dependent diffusion coefficients in one and two dimensions from collective variables trajectories.
Estimation of Diffusion Coefficients
A Python toolkit designed for managing output files produced by LAMMPS, a Molecular Dynamics package.
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