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The Journal of Chemical Physics|May 3, 2013
Efficient Bayesian estimation of Markov model transition matrices with given stationary distributionBenjamin Trendelkamp-Schroer, Frank NoéThe Journal of Chemical Physics|November 9, 2015
Estimation and uncertainty of reversible Markov modelsBenjamin Trendelkamp-Schroer, Hao Wu, Fabian Paul, et al.Journal of Chemical Theory and Computation|November 22, 2015
EMMA: A Software Package for Markov Model Building and AnalysisMartin Senne, Benjamin Trendelkamp-Schroer, Antonia S J S Mey, et al.Journal of Chemical Theory and Computation|November 18, 2015
PyEMMA 2: A Software Package for Estimation, Validation, and Analysis of Markov ModelsMartin K Scherer, Benjamin Trendelkamp-Schroer, Fabian Paul, et al.The Journal of Chemical Physics|July 8, 2008
Probability distributions of molecular observables computed from Markov modelsFrank NoéThe Journal of Chemical Physics|July 2, 2018
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kineticsChristoph Wehmeyer, Frank NoéThe Journal of Chemical Physics|November 17, 2017
An efficient multi-scale Green's function reaction dynamics schemeLuigi Sbailò, Frank NoéPlos Computational Biology|July 25, 2024
Improved protein complex prediction with AlphaFold-multimer by denoising the MSA profilePatrick Bryant, Frank NoéJournal of Chemical Theory and Computation|November 18, 2015
Kinetic distance and kinetic maps from molecular dynamics simulationFrank Noé, Cecilia ClementiProceedings of the National Academy of Sciences of the United States of America|July 10, 2019
Dynamic graphical models of molecular kineticsSimon Olsson, Frank NoéPageof 18