Author

J.-H. Prinz

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Biology Disciplines

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Biophysics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:software / tool· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1

Frequent Co-Authors

D. W. H. Swenson· 2 shared F. Noe· 2 shared P. G. Bolhuis· 2 shared J. Chodera· 1 shared J. D. Chodera· 1 shared

Activity by Year

2018-2018 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 9 mutual co-author links

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2 shared papersBiophysics

D. W. H. Swenson

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2 papers

Recent·Most cited

BiophysicsbioRxivJun 20, 2018

OpenPathSampling: A Python framework for path sampling simulations. II. Building and customizing path ensembles and sample schemes

D. W. H. Swenson, J.-H. Prinz, F. Noe…·P. G. Bolhuis

This paper introduces theoretical developments in the OpenPathSampling framework for path sampling simulations, focusing on path ensemble construction and Monte Carlo procedure customization.

DOI 10.1021/acs.jctc.8b00627

deep learningstatistical model

𝕏 PostBluesky

BiophysicsbioRxivJun 20, 2018

OpenPathSampling: A Python framework for path sampling simulations. I. Basics

D. W. H. Swenson, J.-H. Prinz, F. Noe…·P. G. Bolhuis

The paper introduces OpenPathSampling, a Python framework for path sampling simulations, providing tools for various transition path sampling methods and demonstrating their application to benchmark problems.

DOI 10.1021/acs.jctc.8b00626

deep learningstatistical model

𝕏 PostBluesky