Author

J. N. Kutz

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Biophysics· 1

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Approach:deep learning· 1 Approach:statistical model· 1

Frequent Co-Authors

C. D. Williams· 1 shared S. Rudy· 1 shared T. L. Daniel· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBiophysics

C. D. Williams

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1 paper

Recent·Most cited

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

S. Rudy, C. D. Williams, J. N. Kutz, T. L. Daniel

This paper develops a data-driven surrogate model to predict muscle sarcomere force-length behavior with lower computational cost than Monte Carlo simulations.

bioRxiv · Mar 9, 2020 · PreprintBiophysics