Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Nicholas J Browning

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

Pageof 1
Sort By:
The Journal of Chemical Physics|August 8, 2023
Fast evaluation of spherical harmonics with sphericartFilippo Bigi, Guillaume Fraux, Nicholas J Browning, et al.
The Journal of Chemical Physics|April 9, 2021
Machine learning of free energies in chemical compound space using ensemble representations: Reaching experimental uncertainty for solvationJan Weinreich, Nicholas J Browning, O Anatole von Lilienfeld
The Journal of Chemical Physics|December 13, 2022
GPU-accelerated approximate kernel method for quantum machine learningNicholas J Browning, Felix A Faber, O Anatole von Lilienfeld
The Journal of Physical Chemistry Letters|March 4, 2017
Genetic Optimization of Training Sets for Improved Machine Learning Models of Molecular PropertiesNicholas J Browning, Raghunathan Ramakrishnan, O Anatole von Lilienfeld, et al.
The Journal of Chemical Physics|November 14, 2025
Machine learning-enhanced multiple time-step ab initio molecular dynamicsFrançois Mouvet, Nicholas J Browning, Pablo Baudin, et al.
Journal of the American Chemical Society|January 17, 2018
Genetic Algorithm Based Design and Experimental Characterization of a Highly Thermostable MetalloproteinEsra Bozkurt, Marta A S Perez, Ruud Hovius, et al.
Journal of the American Chemical Society|May 19, 2025
MACE-OFF: Short-Range Transferable Machine Learning Force Fields for Organic MoleculesDávid Péter Kovács, J Harry Moore, Nicholas J Browning, et al.
Structural Dynamics (Melville, N.Y.)|January 30, 2018
Nonadiabatic effects in electronic and nuclear dynamicsMartin P Bircher, Elisa Liberatore, Nicholas J Browning, et al.
Chemical Science|February 12, 2025
Crash testing machine learning force fields for molecules, materials, and interfaces: model analysis in the TEA Challenge 2023Igor Poltavsky, Anton Charkin-Gorbulin, Mirela Puleva, et al.
Chemical Science|February 6, 2025
Crash testing machine learning force fields for molecules, materials, and interfaces: molecular dynamics in the TEA challenge 2023Igor Poltavsky, Mirela Puleva, Anton Charkin-Gorbulin, et al.
Pageof 1

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

Sort By:
Pageof 1
The Journal of Chemical Physics|August 8, 2023
Fast evaluation of spherical harmonics with sphericartFilippo Bigi, Guillaume Fraux, Nicholas J Browning, et al.
The Journal of Chemical Physics|April 9, 2021
Machine learning of free energies in chemical compound space using ensemble representations: Reaching experimental uncertainty for solvationJan Weinreich, Nicholas J Browning, O Anatole von Lilienfeld
The Journal of Chemical Physics|December 13, 2022
GPU-accelerated approximate kernel method for quantum machine learningNicholas J Browning, Felix A Faber, O Anatole von Lilienfeld
The Journal of Physical Chemistry Letters|March 4, 2017
Genetic Optimization of Training Sets for Improved Machine Learning Models of Molecular PropertiesNicholas J Browning, Raghunathan Ramakrishnan, O Anatole von Lilienfeld, et al.
The Journal of Chemical Physics|November 14, 2025
Machine learning-enhanced multiple time-step ab initio molecular dynamicsFrançois Mouvet, Nicholas J Browning, Pablo Baudin, et al.
Journal of the American Chemical Society|January 17, 2018
Genetic Algorithm Based Design and Experimental Characterization of a Highly Thermostable MetalloproteinEsra Bozkurt, Marta A S Perez, Ruud Hovius, et al.
Journal of the American Chemical Society|May 19, 2025
MACE-OFF: Short-Range Transferable Machine Learning Force Fields for Organic MoleculesDávid Péter Kovács, J Harry Moore, Nicholas J Browning, et al.
Structural Dynamics (Melville, N.Y.)|January 30, 2018
Nonadiabatic effects in electronic and nuclear dynamicsMartin P Bircher, Elisa Liberatore, Nicholas J Browning, et al.
Chemical Science|February 12, 2025
Crash testing machine learning force fields for molecules, materials, and interfaces: model analysis in the TEA Challenge 2023Igor Poltavsky, Anton Charkin-Gorbulin, Mirela Puleva, et al.
Chemical Science|February 6, 2025
Crash testing machine learning force fields for molecules, materials, and interfaces: molecular dynamics in the TEA challenge 2023Igor Poltavsky, Mirela Puleva, Anton Charkin-Gorbulin, et al.
Pageof 1