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The Journal of Chemical Physics (1)

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Quantitative and Predictive Folding Models from Limited Single-Molecule Data Using Simulation-Based Inference

Lars Dingeldein ^1,2, Aaron Lyons³, Pilar Cossio ^4,5, Michael T. Woodside^3,6,7, and Roberto Covino ^8,2,*

¹Institute of Physics, Goethe University Frankfurt, Frankfurt am Main, Germany
²Frankfurt Institute for Advanced Studies, Frankfurt am Main, Germany
³Department of Physics, University of Alberta, Edmonton, Alberta, Canada
⁴Center for Computational Mathematics, Flatiron Institute, New York, New York, USA
⁵Center for Computational Biology, Flatiron Institute, New York, New York, USA
⁶Centre for Prions and Protein Folding Diseases, University of Alberta, Edmonton, Alberta, Canada
⁷Li Ka Shing Institute of Virology, University of Alberta, Edmonton, Alberta, Canada
⁸Institute of Computer Science, Goethe University Frankfurt, Frankfurt am Main, Germany

^*Contact author: covino@fias.uni-frankfurt.de

Extracting inertial features from stochastic barrier re-crossing trajectories: Effects of temporal resolution limits

Matthew R. Newton, Aaron Lyons, and Michael T. Woodside

The Journal of Chemical Physics 165 165102 (2026)

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ISSN 1079-7114 (online), 0031-9007 (print).

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