Výsledky vyhledávání - "Vitullo, Piermario"

Report

Deep learning enhanced cost-aware multi-fidelity uncertainty quantification of a computational model for radiotherapy

Autor: Vitullo, Piermario, Franco, Nicola Rares, Zunino, Paolo

Forward uncertainty quantification (UQ) for partial differential equations is a many-query task that requires a significant number of model evaluations. The objective of this work is to mitigate the computational cost of UQ for a 3D-1D multiscale com

Externí odkaz: http://arxiv.org/abs/2402.08494

Zobrazit plný text záznamu

Report

Nonlinear model order reduction for problems with microstructure using mesh informed neural networks

Autor: Vitullo, Piermario, Colombo, Alessio, Franco, Nicola Rares, Manzoni, Andrea, Zunino, Paolo

Many applications in computational physics involve approximating problems with microstructure, characterized by multiple spatial scales in their data. However, these numerical solutions are often computationally expensive due to the need to capture f

Externí odkaz: http://arxiv.org/abs/2309.07815

Zobrazit plný text záznamu