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20212026
most citedData-driven Control of Agent-based Models: an Equation/Variable-free Machine Learning Approach

27 citations · 74 across the 10 of their papers we have counts for

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physics.flu-dyn2025

Surrogate normal-forms for the numerical bifurcation and stability analysis of navier-stokes flows via machine learning

Alessandro Della Pia, Dimitrios G. Patsatzis, Gianluigi Rozza +2

Inspired by the Equation-Free paradigm, we propose an ``embed-learn-lift'' framework for constructing minimal-dimensional surrogate ROMs for the numerical analysis of high-fidelity…

physics.flu-dyn2024★ 6 cited

Learning the Latent dynamics of Fluid flows from High-Fidelity Numerical Simulations using Parsimonious Diffusion Maps

Alessandro Della Pia, Dimitris Patsatzis, Lucia Russo +1

We use parsimonious diffusion maps (PDMs) to discover the latent dynamics of high-fidelity Navier-Stokes simulations with a focus on the 2D fluidic pinball problem. By varying the…