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

Andrea Cepellotti

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

Pageof 1
Sort By:
Nano Letters|June 30, 2017
Boltzmann Transport in Nanostructures as a Friction EffectAndrea Cepellotti, Nicola Marzari
Nature Communications|March 7, 2015
Phonon hydrodynamics in two-dimensional materialsAndrea Cepellotti, Giorgia Fugallo, Lorenzo Paulatto, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 30, 2016
Rippling ultrafast dynamics of suspended 2D monolayers, grapheneJianbo Hu, Giovanni M Vanacore, Andrea Cepellotti, et al.
Journal of Cheminformatics|November 16, 2017
A posteriori metadata from automated provenance tracking: integration of AiiDA and TCODAndrius Merkys, Nicolas Mounet, Andrea Cepellotti, et al.
Nano Letters|October 25, 2014
Thermal conductivity of graphene and graphite: collective excitations and mean free pathsGiorgia Fugallo, Andrea Cepellotti, Lorenzo Paulatto, et al.
Nature Communications|April 29, 2025
Unified differentiable learning of electric responseStefano Falletta, Andrea Cepellotti, Anders Johansson, et al.
Nano Letters|April 3, 2019
Optomechanical Measurement of Thermal Transport in Two-Dimensional MoSe<sub>2</sub> LatticesNicolas Morell, Slaven Tepsic, Antoine Reserbat-Plantey, et al.
Nature Nanotechnology|February 8, 2018
Two-dimensional materials from high-throughput computational exfoliation of experimentally known compoundsNicolas Mounet, Marco Gibertini, Philippe Schwaller, et al.
The Journal of Physical Chemistry Letters|July 18, 2024
Transferability and Accuracy of Ionic Liquid Simulations with Equivariant Machine Learning Interatomic PotentialsZachary A H Goodwin, Malia B Wenny, Julia H Yang, et al.
Scientific Data|September 9, 2020
AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenanceSebastiaan P Huber, Spyros Zoupanos, Martin Uhrin, et al.
Pageof 1

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

Sort By:
Pageof 1
Nano Letters|June 30, 2017
Boltzmann Transport in Nanostructures as a Friction EffectAndrea Cepellotti, Nicola Marzari
Nature Communications|March 7, 2015
Phonon hydrodynamics in two-dimensional materialsAndrea Cepellotti, Giorgia Fugallo, Lorenzo Paulatto, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 30, 2016
Rippling ultrafast dynamics of suspended 2D monolayers, grapheneJianbo Hu, Giovanni M Vanacore, Andrea Cepellotti, et al.
Journal of Cheminformatics|November 16, 2017
A posteriori metadata from automated provenance tracking: integration of AiiDA and TCODAndrius Merkys, Nicolas Mounet, Andrea Cepellotti, et al.
Nano Letters|October 25, 2014
Thermal conductivity of graphene and graphite: collective excitations and mean free pathsGiorgia Fugallo, Andrea Cepellotti, Lorenzo Paulatto, et al.
Nature Communications|April 29, 2025
Unified differentiable learning of electric responseStefano Falletta, Andrea Cepellotti, Anders Johansson, et al.
Nano Letters|April 3, 2019
Optomechanical Measurement of Thermal Transport in Two-Dimensional MoSe<sub>2</sub> LatticesNicolas Morell, Slaven Tepsic, Antoine Reserbat-Plantey, et al.
Nature Nanotechnology|February 8, 2018
Two-dimensional materials from high-throughput computational exfoliation of experimentally known compoundsNicolas Mounet, Marco Gibertini, Philippe Schwaller, et al.
The Journal of Physical Chemistry Letters|July 18, 2024
Transferability and Accuracy of Ionic Liquid Simulations with Equivariant Machine Learning Interatomic PotentialsZachary A H Goodwin, Malia B Wenny, Julia H Yang, et al.
Scientific Data|September 9, 2020
AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenanceSebastiaan P Huber, Spyros Zoupanos, Martin Uhrin, et al.
Pageof 1