An efficient computational framework for naval shape design and optimization problems by means of data-driven reduced order modeling techniques. - Nicola Demo; Giulio Ortali; Gianluca Gustin; Gianluigi Rozza; Gianpiero Lavini (CoRR, 2020)

Gaussian process approach within a data-driven POD framework for fluid dynamics engineering problems. - Giulio Ortali; Nicola Demo; Gianluigi Rozza (CoRR, 2020)

Towards a Numerical Proof of Turbulence Closure. - Giulio Ortali; Alessandro Corbetta; Gianluigi Rozza; Federico Toschi (CoRR, 2022)

Enhancing lattice kinetic schemes for fluid dynamics with Lattice-Equivariant Neural Networks. - Giulio Ortali; Alessandro Gabbana; Imre Atmodimedjo; Alessandro Corbetta (CoRR, 2024)