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Robert T McGibbon

Showing results (1-10 of 13) with videos related to

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The Journal of Chemical Physics|July 24, 2015
Efficient maximum likelihood parameterization of continuous-time Markov processesRobert T McGibbon, Vijay S Pande
Journal of Chemical Theory and Computation|November 20, 2015
Learning Kinetic Distance Metrics for Markov State Models of Protein Conformational DynamicsRobert T McGibbon, Vijay S Pande
The Journal of Chemical Physics|April 3, 2015
Variational cross-validation of slow dynamical modes in molecular kineticsRobert T McGibbon, Vijay S Pande
The Journal of Physical Chemistry. B|April 18, 2014
Statistical model selection for Markov models of biomolecular dynamicsRobert T McGibbon, Christian R Schwantes, Vijay S Pande
Chemsuschem|February 18, 2011
Electrocatalytic carbon dioxide activation: the rate-determining step of pyridinium-catalyzed CO2 reductionAmanda J Morris, Robert T McGibbon, Andrew B Bocarsly
The Journal of Chemical Physics|February 3, 2017
Identification of simple reaction coordinates from complex dynamicsRobert T McGibbon, Brooke E Husic, Vijay S Pande
Journal of Chemical Theory and Computation|December 20, 2015
Automated Discovery and Refinement of Reactive Molecular Dynamics PathwaysLee-Ping Wang, Robert T McGibbon, Vijay S Pande, et al.
The Journal of Chemical Physics|November 24, 2016
Optimized parameter selection reveals trends in Markov state models for protein foldingBrooke E Husic, Robert T McGibbon, Mohammad M Sultan, et al.
The Journal of Chemical Physics|November 4, 2017
Improving the accuracy of Møller-Plesset perturbation theory with neural networksRobert T McGibbon, Andrew G Taube, Alexander G Donchev, et al.
Biophysical Journal|January 12, 2017
MSMBuilder: Statistical Models for Biomolecular DynamicsMatthew P Harrigan, Mohammad M Sultan, Carlos X Hernández, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
The Journal of Chemical Physics|July 24, 2015
Efficient maximum likelihood parameterization of continuous-time Markov processesRobert T McGibbon, Vijay S Pande
Journal of Chemical Theory and Computation|November 20, 2015
Learning Kinetic Distance Metrics for Markov State Models of Protein Conformational DynamicsRobert T McGibbon, Vijay S Pande
The Journal of Chemical Physics|April 3, 2015
Variational cross-validation of slow dynamical modes in molecular kineticsRobert T McGibbon, Vijay S Pande
The Journal of Physical Chemistry. B|April 18, 2014
Statistical model selection for Markov models of biomolecular dynamicsRobert T McGibbon, Christian R Schwantes, Vijay S Pande
Chemsuschem|February 18, 2011
Electrocatalytic carbon dioxide activation: the rate-determining step of pyridinium-catalyzed CO2 reductionAmanda J Morris, Robert T McGibbon, Andrew B Bocarsly
The Journal of Chemical Physics|February 3, 2017
Identification of simple reaction coordinates from complex dynamicsRobert T McGibbon, Brooke E Husic, Vijay S Pande
Journal of Chemical Theory and Computation|December 20, 2015
Automated Discovery and Refinement of Reactive Molecular Dynamics PathwaysLee-Ping Wang, Robert T McGibbon, Vijay S Pande, et al.
The Journal of Chemical Physics|November 24, 2016
Optimized parameter selection reveals trends in Markov state models for protein foldingBrooke E Husic, Robert T McGibbon, Mohammad M Sultan, et al.
The Journal of Chemical Physics|November 4, 2017
Improving the accuracy of Møller-Plesset perturbation theory with neural networksRobert T McGibbon, Andrew G Taube, Alexander G Donchev, et al.
Biophysical Journal|January 12, 2017
MSMBuilder: Statistical Models for Biomolecular DynamicsMatthew P Harrigan, Mohammad M Sultan, Carlos X Hernández, et al.
Pageof 2