Zobrazeno 1 - 10
of 963
pro vyhledávání: '"Ferronato P"'
The growing availability of computational resources has significantly increased the interest of the scientific community in performing complex multi-physics and multi-domain simulations. However, the generation of appropriate computational grids for
Externí odkaz:
http://arxiv.org/abs/2409.11735
Assessing the safety and environmental impacts of subsurface resource exploitation and management is critical and requires robust geomechanical modeling. However, uncertainties stemming from model assumptions, intrinsic variability of governing param
Externí odkaz:
http://arxiv.org/abs/2409.01215
Autor:
Baldan, Selena, Ferronato, Massimiliano, Franceschini, Andrea, Janna, Carlo, Zoccarato, Claudia, Frigo, Matteo, Isotton, Giovanni, Collettini, Cristiano, Deangeli, Chiara, Rocca, Vera, Verga, Francesca, Teatini, Pietro
Underground gas storage is a versatile tool for managing energy resources and addressing pressing environmental concerns. While natural gas is stored in geological formations since the beginning of the 20th century, hydrogen has recently been conside
Externí odkaz:
http://arxiv.org/abs/2408.01049
Compartmental models provide simple and efficient tools to analyze the relevant transmission processes during an outbreak, to produce short-term forecasts or transmission scenarios, and to assess the impact of vaccination campaigns. However, their ca
Externí odkaz:
http://arxiv.org/abs/2311.09944
Autor:
Franceschini, Andrea, Zoccarato, Claudia, Baldan, Selena, Frigo, Matteo, Ferronato, Massimiliano, Janna, Carlo, Isotton, Giovanni, Teatini, Pietro
Underground gas storage (UGS) is a worldwide well-established technology that is becoming even more important to cope with seasonal peaks of gas consumption due to the growing uncertainties of the energy market. Safety issues concerning the reactivat
Externí odkaz:
http://arxiv.org/abs/2308.02198
This work proposes an original preconditioner that couples the Constrained Pressure Residual (CPR) method with block preconditioning for the efficient solution of the linearized systems of equations arising from fully implicit multiphase flow models.
Externí odkaz:
http://arxiv.org/abs/2303.13415
Autor:
R. Franko, Y. Franko, E. Ribes Martinez, G. A. Ferronato, I. Heinzelmann, N. Grechi, S. Devkota, P. K. Fontes, R. Coeti, T. S. I. Oshiro, M. A. M. M. Ferraz
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Understanding the mechanical properties and porosity of reproductive tissues is vital for regenerative medicine and tissue engineering. This study investigated the changes in Young's modulus (YM), storage modulus (E′), loss modulus (Eʺ),
Externí odkaz:
https://doaj.org/article/89e477aa49fc483a84fdb5a774129023
Autor:
Paola Maria da Silva Rosa, Alessandra Bridi, Giuliana de Ávila Ferronato, Cibele Maria Prado, Natália Marins Bastos, Juliano Rodrigues Sangalli, Flávio Vieira Meirelles, Felipe Perecin, Juliano Coelho da Silveira
Publikováno v:
Journal of Ovarian Research, Vol 17, Iss 1, Pp 1-14 (2024)
Abstract Background It is well described that circulating progesterone (P4) plays a key role in several reproductive events such as oocyte maturation. However, during diestrus, when circulating P4 is at the highest concentrations, little is known abo
Externí odkaz:
https://doaj.org/article/6800ce294f764dcbb6540f4a72b87e8f
Autor:
Giulia Ferronato, Luca Cattaneo, Annalisa Amato, Andrea Minuti, Juan J. Loor, Erminio Trevisi, Carmelo Cavallo, George Attard, Ahmed A. Elolimy, Luigi Liotta, Vincenzo Lopreiato
Publikováno v:
Journal of Dairy Science, Vol 107, Iss 3, Pp 1685-1693 (2024)
ABSTRACT: Residual Feed Intake (RFI) is defined as the difference between measured and predicted intake. Understanding its biological regulators could benefit farm profit margins. The most-efficient animals (M-Eff) have observed intake smaller than p
Externí odkaz:
https://doaj.org/article/b623f9b3392e48b8b4b9eab070f6d846
We develop a robust matrix-free, communication avoiding parallel, high-degree polynomial preconditioner for the Conjugate Gradient method for large and sparse symmetric positive definite linear systems. We discuss the selection of a scaling parameter
Externí odkaz:
http://arxiv.org/abs/2208.01339