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Luca Pegolotti
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 8
Top Topics
Neural Network
Data Driven
Bayesian Decision
Approximation Error
Top Venues
CoRR
J. Comput. Phys.
Comput. Biol. Medicine
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Publications
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Luca Pegolotti
,
Martin R. Pfaller
,
Natalia L. Rubio
,
Ke Ding
,
Rita Brugarolas Brufau
,
Eric Darve
,
Alison L. Marsden
Learning reduced-order models for cardiovascular simulations with graph neural networks.
Comput. Biol. Medicine
168 (2024)
Natalia L. Rubio
,
Luca Pegolotti
,
Martin R. Pfaller
,
Eric F. Darve
,
Alison L. Marsden
Hybrid Physics-Based and Data-Driven Modeling of Vascular Bifurcation Pressure Differences.
CoRR
(2024)
Jakob Richter
,
Jonas Nitzler
,
Luca Pegolotti
,
Karthik Menon
,
Jonas Biehler
,
Wolfgang A. Wall
,
Daniele E. Schiavazzi
,
Alison L. Marsden
,
Martin R. Pfaller
Bayesian Windkessel calibration using optimized 0D surrogate models.
CoRR
(2024)
Luca Pegolotti
,
Martin R. Pfaller
,
Natalia L. Rubio
,
Ke Ding
,
Rita Brugarolas Brufau
,
Eric Darve
,
Alison L. Marsden
Learning Reduced-Order Models for Cardiovascular Simulations with Graph Neural Networks.
CoRR
(2023)
Niccolò Dal Santo
,
Simone Deparis
,
Luca Pegolotti
Data driven approximation of parametrized PDEs by reduced basis and neural networks.
J. Comput. Phys.
416 (2020)
Luca Pegolotti
,
Martin R. Pfaller
,
Alison L. Marsden
,
Simone Deparis
Model order reduction of flow based on a modular geometrical approximation of blood vessels.
CoRR
(2020)
Niccolò Dal Santo
,
Simone Deparis
,
Luca Pegolotti
Data driven approximation of parametrized PDEs by Reduced Basis and Neural Networks.
CoRR
(2019)
Simone Deparis
,
Luca Pegolotti
Coupling non-conforming discretizations of PDEs by spectral approximation of the Lagrange multiplier space.
CoRR
(2018)