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New MOX Report on Reducing the Drag of a Bluff Body by Deep Reinforcement Learning

by Francesco Ragazzoni|Published May 17, 2023

Publication Results Detail

Published November 30, 2024

Stefano Pagani and Luca Formaggia served as judges at the Reply Student Clash event!

Stefano Pagani and Luca Formaggia served as judges at the Reply Student Clash event, which was co-organized by the Politecnico di Milano […]

Published December 15, 2024

Francesco Regazzoni’s research project entitled “SYNERGIZE: Synergizing Numerical Methods and Machine Learning for a new generation of computational models” has been selected for funding through the prestigious FIS — Fondo Italiano per la Scienza — programme (Starting Grant scheme)

Francesco Regazzoni has been awarded a Starting Grant from FIS (the Italian Science Fund) for his proposal titled “SYNERGIZE: Synergizing Numerical Methods […]

Published November 21, 2025

A study by MOX (Department of Mathematics), Mechanical Engineering @ PoliMI, and University of Washington published in Nature Communications

The paper “Reduced order modeling with shallow recurrent decoder networks”, signed by Matteo Tomasetto, Jan P. Williams, Francesco Braghin, Andrea Manzoni, and […]

Published April 14, 2026

Mattia Corti has been awarded the 2026 GBMA Award for the best PhD Thesis

Mattia Corti has been awarded, ex aequo, the 2026 GBMA Award for the best PhD Thesis in Theoretical and Applied Biomechanics. Mattia […]