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Luca Pegolotti
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2020 – today
- 2024
- [j2]Luca Pegolotti
, Martin R. Pfaller
Learning reduced-order models for cardiovascular simulations with graph neural networks. Comput. Biol. Medicine 168: 107676 (2024) - [i6]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 abs/2402.15651 (2024) - [i5]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 abs/2404.14187 (2024) - 2023
- [i4]Luca Pegolotti, Martin R. Pfaller
Learning Reduced-Order Models for Cardiovascular Simulations with Graph Neural Networks. CoRR abs/2303.07310 (2023) - 2020
- [j1]Niccolò Dal Santo, Simone Deparis
Data driven approximation of parametrized PDEs by reduced basis and neural networks. J. Comput. Phys. 416: 109550 (2020) - [i3]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 abs/2010.00285 (2020)
2010 – 2019
- 2019
- [i2]Niccolò Dal Santo, Simone Deparis, Luca Pegolotti:
Data driven approximation of parametrized PDEs by Reduced Basis and Neural Networks. CoRR abs/1904.01514 (2019) - 2018
- [i1]Simone Deparis, Luca Pegolotti:
Coupling non-conforming discretizations of PDEs by spectral approximation of the Lagrange multiplier space. CoRR abs/1802.07601 (2018)
Coauthor Index
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last updated on 2024-05-27 20:55 CEST by the dblp team
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