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

Matheus de Oliveira Bispo

Showing results (1-10 of 5) with videos related to

Pageof 1
Sort By:
The Journal of Physical Chemistry Letters|November 21, 2024
Accelerating Molecular Dynamics Simulations Using Socket-Based Interprocess CommunicationMatheus de Oliveira Bispo, Mario Barbatti
Journal of Molecular Modeling|April 15, 2022
Long-range parameter optimization for a better description of potential energy surfaces using Density Functional TheoryMatheus de Oliveira Bispo, Demétrio Antônio da Silva Filho
Chemistry (Weinheim an Der Bergstrasse, Germany)|February 4, 2026
Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble ApproachesBidhan Chandra Garain, Max Pinheiro, Matheus de Oliveira Bispo, et al.
Journal of Chemical Theory and Computation|November 11, 2025
MELTS: Fully Automated Active Learning for Fewest-Switches Surface Hopping DynamicsMatheus de Oliveira Bispo, Rafael Souza Mattos, Max Pinheiro, et al.
Digital Discovery|January 31, 2025
ULaMDyn: enhancing excited-state dynamics analysis through streamlined unsupervised learningMax Pinheiro, Matheus de Oliveira Bispo, Rafael S Mattos, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
The Journal of Physical Chemistry Letters|November 21, 2024
Accelerating Molecular Dynamics Simulations Using Socket-Based Interprocess CommunicationMatheus de Oliveira Bispo, Mario Barbatti
Journal of Molecular Modeling|April 15, 2022
Long-range parameter optimization for a better description of potential energy surfaces using Density Functional TheoryMatheus de Oliveira Bispo, Demétrio Antônio da Silva Filho
Chemistry (Weinheim an Der Bergstrasse, Germany)|February 4, 2026
Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble ApproachesBidhan Chandra Garain, Max Pinheiro, Matheus de Oliveira Bispo, et al.
Journal of Chemical Theory and Computation|November 11, 2025
MELTS: Fully Automated Active Learning for Fewest-Switches Surface Hopping DynamicsMatheus de Oliveira Bispo, Rafael Souza Mattos, Max Pinheiro, et al.
Digital Discovery|January 31, 2025
ULaMDyn: enhancing excited-state dynamics analysis through streamlined unsupervised learningMax Pinheiro, Matheus de Oliveira Bispo, Rafael S Mattos, et al.
Pageof 1