3 papers
physics.flu-dyn2026
A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit
Niccolò Tonioni, Lionel Agostini, Marcial Sanchis-Agudo +4
A data-driven reduced-order modelling framework is proposed for wall-bounded turbulent flows to forecast the intermittent near-wall dynamics over extended time horizons from sparse…
physics.flu-dyn2026
VIVALDy: A Hybrid Generative Reduced-Order Model for Turbulent Flows, Applied to Vortex-Induced Vibrations
Niccolò Tonioni, Lionel Agostini, Franck Kerhervé +2
Developing reduced-order models applicable to fluid-dynamics problems involving complex geometries and different flow conditions remains a critical challenge for turbulent flows. T…
cs.LG2026
End-to-end data-driven prediction of urban airflow and pollutant dispersion
Nishant Kumar, Franck Kerhervé, Lionel Agostini +1
Climate change and the rapid growth of urban populations are intensifying environmental stresses within cities, making the behavior of urban atmospheric flows a critical factor in…