Author

J. Chodera

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

Biology Disciplines

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Biophysics· 2

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

B. Leimkuhler· 1 shared D. Sivak· 1 shared D. W. H. Swenson· 1 shared F. Noe· 1 shared G. E. Crooks· 1 shared J. Fass· 1 shared J.-H. Prinz· 1 shared K. A. Beauchamp· 1 shared

Activity by Year

2018-2018 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 16 mutual co-author links

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1 shared paperBiophysics

B. Leimkuhler

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2 papers

Recent·Most cited

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, J. Chodera, 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.

bioRxiv · Jun 20, 2018Biophysics

Quantifying configuration-sampling error in Langevin simulations of complex molecular systems

J. Fass, D. Sivak, G. E. Crooks, K. A. Beauchamp, B. Leimkuhler, J. Chodera

The paper introduces a method to quantify configuration-space sampling errors in Langevin simulations and validates it against a Monte Carlo estimator.

bioRxiv · Apr 15, 2018Biophysics