A list of selected scientific journal and conference papers:
P. Mitra, N. Dal Santo, M. Haghshenas, S. Mitra, C. Daly, D. Schmidt. On the Effectiveness of Bayesian AutoML methods for Physics Emulators. Machine Learning for Engineering Modelling, Simulation and Design Workshop, NeurIPS 2020. Preprint
P. Mitra, M. Haghshenas, N. Dal Santo, M. D. Ribeiro, S. Mitra, C. Daly, D. P. Schmidt. Analysis and Interpretation of data-driven closure models for Large Eddy Simulation of Internal Combustion Engines.
N. Dal Santo, S. Deparis, L. Pegolotti. Data driven approximation of parametrized PDEs by Reduced Basis and Neural Networks. Journal of Computational Physics, 2020. Journal Preprint
N. Dal Santo, A. Manzoni. Hyper-reduced order models for parametrized unsteady Navier-Stokes equations on domains with variable shape, Advances in Computational Mathematics, 45, 2463–2501, 2019. Journal
N. Dal Santo, S. Deparis, A. Manzoni, A. Quarteroni. Multi space reduced basis preconditioners for parametrized Stokes equations, Computers and Mathematics with Applications, 2019. Journal
N. Dal Santo, S. Deparis, A. Manzoni, A. Quarteroni. An algebraic least squares reduced basis method for the solution of nonaffinely parametrized Stokes equations, Computer Methods in Applied Mechanics and Engineering 344(1):186-208, 2019. Journal
N. Dal Santo, S. Deparis, A. Manzoni, A. Quarteroni. Multi space reduced basis preconditioners for large-scale parametrized PDEs, SIAM Journal on Scientific Computing, 40(2):A954-A983, 2018. Journal
N. Dal Santo, S. Deparis, A. Manzoni. A numerical investigation of multi space reduced basis preconditioners for parametrized elliptic advection-diffusion equations, Communications in Applied and Industrial Mathematics 8(1):282-297, 2017. Journal
P.F. Antonietti, I. Mazzieri, N. Dal Santo, A. Quarteroni. A high-order discontinuous Galerkin approximation to ordinary differential equations with applications to elastodynamics. IMA Journal of Numerical Analysis, 38(4):1709–1734, 2018. Journal