A multiscale Bayesian inference approach to analyzing subdiffusion in particle trajectories


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Submitted by khinsen

Oct. 18, 2021, 7:46 a.m.

A multiscale Bayesian inference approach to analyzing subdiffusion in particle trajectories

K. Hinsen and G.R. Kneller, J.
K. Hinsen and G.R. Kneller, J. Chem. Phys. 145, 151101 (2016)
DOI:  None      


  Mean reproducibility score:   3.0/10   |   Number of reviews:   1

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Why should we reproduce your paper?
This is one of the very few papers in biomolecular simulation for which code and data are available and which should be reproducible. But it is also three years old, so it is an interesting test case for the longevity of reproducible research. The infrastructure software is available at http://www.activepapers.org/python-edition/ (with instructions for installation and use)
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Resources

  Paper URL: https://doi.org/10.1063/1.4965881
  Data URL: https://doi.org/10.5281/zenodo.162171
  Code URL: https://doi.org/10.5281/zenodo.162171
Tags: Python

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