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

Maarten Cools-Ceuppens

Showing results (1-10 of 4) with videos related to

Pageof 1
Sort By:
Journal of Chemical Theory and Computation|February 16, 2022
Modeling Electronic Response Properties with an Explicit-Electron Machine Learning PotentialMaarten Cools-Ceuppens, Joni Dambre, Toon Verstraelen
Journal of Chemical Theory and Computation|December 23, 2022
Quantum Free Energy Profiles for Molecular Proton TransfersAran Lamaire, Maarten Cools-Ceuppens, Massimo Bocus, et al.
Nature Communications|February 23, 2023
Nuclear quantum effects on zeolite proton hopping kinetics explored with machine learning potentials and path integral molecular dynamicsMassimo Bocus, Ruben Goeminne, Aran Lamaire, et al.
Journal of Computational Chemistry|December 28, 2020
IOData: A python library for reading, writing, and converting computational chemistry file formats and generating input filesToon Verstraelen, William Adams, Leila Pujal, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Journal of Chemical Theory and Computation|February 16, 2022
Modeling Electronic Response Properties with an Explicit-Electron Machine Learning PotentialMaarten Cools-Ceuppens, Joni Dambre, Toon Verstraelen
Journal of Chemical Theory and Computation|December 23, 2022
Quantum Free Energy Profiles for Molecular Proton TransfersAran Lamaire, Maarten Cools-Ceuppens, Massimo Bocus, et al.
Nature Communications|February 23, 2023
Nuclear quantum effects on zeolite proton hopping kinetics explored with machine learning potentials and path integral molecular dynamicsMassimo Bocus, Ruben Goeminne, Aran Lamaire, et al.
Journal of Computational Chemistry|December 28, 2020
IOData: A python library for reading, writing, and converting computational chemistry file formats and generating input filesToon Verstraelen, William Adams, Leila Pujal, et al.
Pageof 1