Software

See the table below for our open-source software offerings.

For the most current listing of NREL-developed open-source software, see U.S. Department of Energy Office of Scientific and Technical Information's DOE CODE database.

Commercial Licensing

Explore more than 250 copyrighted software tools available for licensing via the Department of Energy's Lab Partnering Service.

pyvisco

Mar 20, 2022, 18:00 PM

pyvisco is a Python library that supports the identification of Prony series parameters for linear viscoelastic materials described by a Generalized Maxwell model. The necessary material model parameters are identified by fitting a Prony series to the experimental measurement data. pyvisco allows for the identification of Prony series parameters from experimental data measured in either the frequency-domain (via Dynamic Mechanical Thermal Analysis) or time-domain (via relaxation measurements).

Title : pyvisco

Url : https://github.com/NREL/pyvisco

Software Id : 72248

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