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

Gianluca Geraci

Showing results (1-10 of 6) with videos related to

Pageof 1
Sort By:
Physical Review Letters|October 25, 2025
Multipoint Correlations in Poisson MediaAlec Shelley, Aaron Olson, Gianluca Geraci, et al.
Journal of Scientific Computing|November 7, 2025
Neural Active Manifolds: Nonlinear Dimensionality Reduction for Uncertainty QuantificationAndrea Zanoni, Gianluca Geraci, Matteo Salvador, et al.
Computer Methods in Applied Mechanics and Engineering|June 24, 2024
Improved multifidelity Monte Carlo estimators based on normalizing flows and dimensionality reduction techniquesAndrea Zanoni, Gianluca Geraci, Matteo Salvador, et al.
Computer Methods in Applied Mechanics and Engineering|April 28, 2020
Multilevel and multifidelity uncertainty quantification for cardiovascular hemodynamicsCasey M Fleeter, Gianluca Geraci, Daniele E Schiavazzi, et al.
Arxiv|September 16, 2024
Personalized and uncertainty-aware coronary hemodynamics simulations: From Bayesian estimation to improved multi-fidelity uncertainty quantificationKarthik Menon, Andrea Zanoni, Owais Khan, et al.
Computer Methods and Programs in Biomedicine|July 30, 2025
Personalized and uncertainty-aware coronary hemodynamics simulations: From Bayesian estimation to improved multi-fidelity uncertainty quantificationKarthik Menon, Andrea Zanoni, M Owais Khan, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Physical Review Letters|October 25, 2025
Multipoint Correlations in Poisson MediaAlec Shelley, Aaron Olson, Gianluca Geraci, et al.
Journal of Scientific Computing|November 7, 2025
Neural Active Manifolds: Nonlinear Dimensionality Reduction for Uncertainty QuantificationAndrea Zanoni, Gianluca Geraci, Matteo Salvador, et al.
Computer Methods in Applied Mechanics and Engineering|June 24, 2024
Improved multifidelity Monte Carlo estimators based on normalizing flows and dimensionality reduction techniquesAndrea Zanoni, Gianluca Geraci, Matteo Salvador, et al.
Computer Methods in Applied Mechanics and Engineering|April 28, 2020
Multilevel and multifidelity uncertainty quantification for cardiovascular hemodynamicsCasey M Fleeter, Gianluca Geraci, Daniele E Schiavazzi, et al.
Arxiv|September 16, 2024
Personalized and uncertainty-aware coronary hemodynamics simulations: From Bayesian estimation to improved multi-fidelity uncertainty quantificationKarthik Menon, Andrea Zanoni, Owais Khan, et al.
Computer Methods and Programs in Biomedicine|July 30, 2025
Personalized and uncertainty-aware coronary hemodynamics simulations: From Bayesian estimation to improved multi-fidelity uncertainty quantificationKarthik Menon, Andrea Zanoni, M Owais Khan, et al.
Pageof 1