/data_driven_sarc

Primary LanguageJupyter NotebookMIT LicenseMIT

A Data-driven Surrogate Model for Work Computation of a Periodically Forced Half-Sarcomere

Samuel H. Rudy, C. David Williams, J. Nathan Kutz, Thomas L. Daniel

Overview

Software used for data-driven modeling of a periodically forced half-sarcomere. Training data in ./MC_data was created using the multifil library.

Requires

Python version 3.5+ Minimal requirements: scikit-learn, pandas, numpy, scipy, matplotlib

License

MIT