A data-driven approach for the closure of RANS models by the divergence of the Reynolds Stress Tensor. - Stefano Berrone; Davide Oberto (CoRR, 2022)

The lowest-order Neural Approximated Virtual Element Method. - Stefano Berrone; Davide Oberto; Moreno Pintore; Gioana Teora (CoRR, 2023)

Improving the Vector Basis Neural Network for RANS Equations Using Separate Trainings. - Davide Oberto (CoRR, 2024)

Machine Learning algorithms in Computational Fluid Dynamics: Improving Reynolds-Averaged Navier-Stokes equations by ML closure models. - Davide Oberto (2025)