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Niccolò Dal Santo
Titolo
Citata da
Citata da
Anno
Data driven approximation of parametrized PDEs by reduced basis and neural networks
N Dal Santo, S Deparis, L Pegolotti
Journal of Computational Physics 416, 109550, 2020
592020
A high-order discontinuous Galerkin approximation to ordinary differential equations with applications to elastodynamics
PF Antonietti, I Mazzieri, N Dal Santo, A Quarteroni
IMA Journal of Numerical Analysis 38 (4), 1709-1734, 2018
322018
Hyper-reduced order models for parametrized unsteady Navier-Stokes equations on domains with variable shape
ND Santo, A Manzoni
Advances in Computational Mathematics 45 (5-6), 2463-2501, 2019
192019
An algebraic least squares reduced basis method for the solution of nonaffinely parametrized Stokes equations
N Dal Santo, S Deparis, A Manzoni, A Quarteroni
Computer Methods in Applied Mechanics and Engineering 344, 186-208, 2019
182019
Multi space reduced basis preconditioners for large-scale parametrized PDEs
ND Santo, S Deparis, A Manzoni, A Quarteroni
SIAM Journal on Scientific Computing 40 (2), A954-A983, 2018
182018
Acceleration of chemical kinetics computation with the learned intelligent tabulation (LIT) method
M Haghshenas, P Mitra, ND Santo, DP Schmidt
Energies 14 (23), 7851, 2021
112021
Multi space reduced basis preconditioners for parametrized Stokes equations
N Dal Santo, S Deparis, A Manzoni, A Quarteroni
Computers & Mathematics with Applications 77 (6), 1583-1604, 2019
62019
On the Effectiveness of Bayesian AutoML methods for Physics Emulators
P Mitra, N Dal Santo, M Haghshenas, S Mitra, C Daly, DP Schmidt
Preprints, 2020
42020
A numerical investigation of multi space reduced basis preconditioners for parametrized elliptic advection-diffusion equations
N Dal Santo, S Deparis, A Manzoni
Communications in Applied and Industrial Mathematics 8 (1), 282-297, 2017
42017
Reduced-order modeling for applications to the cardiovascular system
N Dal Santo, A Manzoni, S Pagani, A Quarteroni
Applications; De Gruyter: Berlin, Germany, 251-278, 2020
32020
Towards building robust neural network models for fluid simulations
P Mitra, M Haghshenas, N Dal Santo, C Daly, S Mitra, D Schmidt
APS Division of Fluid Dynamics Meeting Abstracts, F09. 004, 2020
22020
LES Turbulence Model with Learnt Closure; Integration of DNN into a CFD Solver
M Haghshenas, P Mitra, N Dal Santo, M Dias Ribeiro, S Mitra, D Schmidt
APS Division of Fluid Dynamics Meeting Abstracts, S01. 019, 2020
22020
Multi space reduced basis preconditioners for parametrized partial differential equations
N Dal Santo
EPFL, 2018
22018
Improving CFD simulations by local machine-learned correction
P Mitra, M Haghshenas, ND Santo, C Daly, DP Schmidt
arXiv preprint arXiv:2305.00114, 2023
12023
Network compression for machine-learnt fluid simulations
P Mitra, V Venkatesan, N Jangid, A Nambiar, D Kumar, V Roa, ND Santo, ...
arXiv preprint arXiv:2103.00754, 2021
12021
Analyzing X-Ray CT Images from Unconventional Reservoirs Using Deep Generative Models
Y Perez Claro, N Dal Santo, V Krishnan, A Kovscek
SPE Western Regional Meeting, D021S012R003, 2022
2022
Analyzing Rock Samples using Deep Learning for Improving X-Ray CT Scan Resolution
YP Claro, N Dal Santo, V Krishnan, AR Kovscek
AGU Fall Meeting 2021, 2021
2021
Analyzing Rock Samples using Deep Learning for Improving X-Ray CT Scan Resolution
Y Perez Claro, N Dal Santo, V Krishnan, A Kovscek
AGU Fall Meeting Abstracts 2021, H54A-05, 2021
2021
Improved 3D Visualization of Reactive Transport Dynamics in Fractured Shales with Deep Learning Super Resolution
MP Murugesu, N Dal Santo, V Krishnan, A Kovscek
AGU Fall Meeting Abstracts 2021, H55B-0762, 2021
2021
Analysis and Interpretation of Data-Driven Closure Models for Large Eddy Simulation of Internal Combustion Engine
P Mitra, M Haghshenas, N Dal Santo, MD Ribeiro, S Mitra, C Daly, ...
SAE International Journal of Advances and Current Practices in Mobility 3 …, 2021
2021
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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