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.
Implementation of corrections for diffusion coefficients in membrane simulations.
Framework for the Simulation of Temperature Dependent Semiconductor Parameters in Silicon Solar Cells and their Respective Impact on the Current Density-Voltage Characteristic
Python code to fit single-angle dynamic light scattering data using the Tikhonov Philips regularisation
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 toolkit designed for managing output files produced by the LAMMPS Molecular Dynamics package.
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