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

Thomas Plé

Showing results (1-10 of 16) with videos related to

Pageof 2
Sort By:
Chemical Science|November 29, 2023
Force-field-enhanced neural network interactions: from local equivariant embedding to atom-in-molecule properties and long-range effectsThomas Plé, Louis Lagardère, Jean-Philip Piquemal
The Journal of Chemical Physics|July 25, 2024
FeNNol: An efficient and flexible library for building force-field-enhanced neural network potentialsThomas Plé, Olivier Adjoua, Louis Lagardère, et al.
The Journal of Chemical Physics|September 16, 2021
Anharmonic spectral features via trajectory-based quantum dynamics: A perturbative analysis of the interplay between dynamics and samplingThomas Plé, Simon Huppert, Fabio Finocchi, et al.
The Journal of Chemical Physics|September 23, 2019
Sampling the thermal Wigner density via a generalized Langevin dynamicsThomas Plé, Simon Huppert, Fabio Finocchi, et al.
The Journal of Physical Chemistry. B|October 21, 2022
Improving Condensed-Phase Water Dynamics with Explicit Nuclear Quantum Effects: The Polarizable Q-AMOEBA Force FieldNastasia Mauger, Thomas Plé, Louis Lagardère, et al.
The Journal of Physical Chemistry Letters|June 2, 2025
The Q-AMOEBA (CF) Polarizable PotentialNastasia Mauger, Thomas Plé, Louis Lagardère, et al.
Journal of Chemical Theory and Computation|April 3, 2019
The Fluctuation-Dissipation Theorem as a Diagnosis and Cure for Zero-Point Energy Leakage in Quantum Thermal Bath SimulationsEtienne Mangaud, Simon Huppert, Thomas Plé, et al.
Journal of Chemical Theory and Computation|June 6, 2026
Faster Molecular Dynamics with Neural Network Potentials via Distilled Multiple Time-Stepping and Nonconservative ForcesNicolaï Gouraud, Côme Cattin, Thomas Plé, et al.
The Journal of Physical Chemistry Letters|January 21, 2026
Accelerating Molecular Dynamics Simulations with Foundation Neural Network Models Using Multiple Time Steps and DistillationCôme Cattin, Thomas Plé, Olivier Adjoua, et al.
Journal of Chemical Theory and Computation|March 6, 2025
Velocity Jumps for Molecular DynamicsNicolaï Gouraud, Louis Lagardère, Olivier Adjoua, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Chemical Science|November 29, 2023
Force-field-enhanced neural network interactions: from local equivariant embedding to atom-in-molecule properties and long-range effectsThomas Plé, Louis Lagardère, Jean-Philip Piquemal
The Journal of Chemical Physics|July 25, 2024
FeNNol: An efficient and flexible library for building force-field-enhanced neural network potentialsThomas Plé, Olivier Adjoua, Louis Lagardère, et al.
The Journal of Chemical Physics|September 16, 2021
Anharmonic spectral features via trajectory-based quantum dynamics: A perturbative analysis of the interplay between dynamics and samplingThomas Plé, Simon Huppert, Fabio Finocchi, et al.
The Journal of Chemical Physics|September 23, 2019
Sampling the thermal Wigner density via a generalized Langevin dynamicsThomas Plé, Simon Huppert, Fabio Finocchi, et al.
The Journal of Physical Chemistry. B|October 21, 2022
Improving Condensed-Phase Water Dynamics with Explicit Nuclear Quantum Effects: The Polarizable Q-AMOEBA Force FieldNastasia Mauger, Thomas Plé, Louis Lagardère, et al.
The Journal of Physical Chemistry Letters|June 2, 2025
The Q-AMOEBA (CF) Polarizable PotentialNastasia Mauger, Thomas Plé, Louis Lagardère, et al.
Journal of Chemical Theory and Computation|April 3, 2019
The Fluctuation-Dissipation Theorem as a Diagnosis and Cure for Zero-Point Energy Leakage in Quantum Thermal Bath SimulationsEtienne Mangaud, Simon Huppert, Thomas Plé, et al.
Journal of Chemical Theory and Computation|June 6, 2026
Faster Molecular Dynamics with Neural Network Potentials via Distilled Multiple Time-Stepping and Nonconservative ForcesNicolaï Gouraud, Côme Cattin, Thomas Plé, et al.
The Journal of Physical Chemistry Letters|January 21, 2026
Accelerating Molecular Dynamics Simulations with Foundation Neural Network Models Using Multiple Time Steps and DistillationCôme Cattin, Thomas Plé, Olivier Adjoua, et al.
Journal of Chemical Theory and Computation|March 6, 2025
Velocity Jumps for Molecular DynamicsNicolaï Gouraud, Louis Lagardère, Olivier Adjoua, et al.
Pageof 2