You're reading an old version of this documentation. For the latest released version, please have a look at v4.4.0.



CADET is developed at the Institute of Bio- and Geosciences 1 (IBG-1) of Forschungszentrum Jülich (FZJ) under supervision of Dr. Eric von Lieres. The heart of the CADET software is a fast and accurate solver for a comprehensive model family. Typical applications include (but are by far not limited to) chromatography, filtration, crystallization, and fermentation. CADET can handle arbitrary sequences and networks of unit operations, including reactors, tanks, tubes, pumps, valves, detectors, etc. The resulting models are solved with state-of-the-art mathematical algorithms and scientific computing techniques.


  • Fast and accurate solution of strongly coupled partial differential algebraic equations (PDAE)

  • Computation of parameter sensitivities with algorithmic differentiation (AD)

  • Shared memory parallelization using Intel TBB

  • Python interface (recommended) and native MATLAB interface (deprecated)

  • Support of HDF5 and XML data formats

  • Flexible and extensible through modular design

  • Works on Windows, Linux, and Mac OS X

Ongoing Development

We do our best to provide you with a stable API. However, CADET is actively developed and breaking changes can sometimes be unavoidable. For non-developers, it is recommended to upgrade from release to release instead of always working with the most recent commit.


Please report any bugs that you find here. Or, even better, fork the repository on GitHub and create a pull request (PR) with the fix.


Donations for helping to host, maintain, and further develop the CADET project are highly appreciated.


To cite CADET please use the following publication: