| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 3308 | 2023 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 1234 | 2024 |
| 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 | 76 | 2020 |
| 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 | 35 | 2018 |
| 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), 2463-2501, 2019 | 22 | 2019 |
| 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 | 22 | 2019 |
| 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 | 17 | 2018 |
| 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 | 13 | 2021 |
| 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 | 5 | 2020 |
| 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 | 5 | 2019 |
| A numerical investigation of multi space reduced basis preconditioners for parametrized elliptic advection-diffusion equations ND Santo, S Deparis, A Manzoni Communications in Applied and Industrial Mathematics 8 (1), 282-297, 2017 | 5 | 2017 |
| 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 | 4 | 2020 |
| Improving CFD Simulations by Local Machine-Learned Corrections P Mitra, M Haghshenas, N Dal Santo, C Daly, DP Schmidt ASME International Mechanical Engineering Congress and Exposition 87660 …, 2023 | 2 | 2023 |
| 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 | 2 | 2020 |
| 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 | 2 | 2020 |
| Multi space reduced basis preconditioners for parametrized partial differential equations N Dal Santo EPFL, 2018 | 2 | 2018 |
| 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 | 1 | 2021 |
| 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 |