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From the 2 of 13 linked papers with an AI index.

activity
20242026
collaborators

13 papers

physics.flu-dyn2026

Divide and conquer complex flows. Part I: cluster and manifold-based local analysis

Qihong L. Li-Hu, Guy Y. Cornejo Maceda, Andrea Ianiro +1

The paper introduces a data‑driven framework that uses manifold learning and unsupervised clustering to automatically partition complex fluid‑flow domains into subregions with simi…

physics.flu-dyn2026

Feature-based manifold model of actuated wakes

Alicia Rodríguez-Asensio, Guy Y. Cornejo Maceda, Bernd R. Noack +2

The paper presents a feature‑based reduced‑order model that predicts the transient dynamics of bluff‑body wakes under arbitrary time‑varying actuation, using a manifold of dynamic…

physics.flu-dyn2026

Information decomposition for disentangled and interpretable manifold learning of fluid flows via variational autoencoders

Zhiyuan Wang, Iacopo Tirelli, Stefano Discetti +1

We introduce an information-theoretic framework that uses variational autoencoders (VAEs) to extract compact, physically interpretable manifolds from high-dimensional flow-field da…

physics.flu-dyn2026

Drag reduction via separation control using plasma actuators on a truck cabin side

Lucas Schneeberger, Stefano Discetti, Andrea Ianiro

We investigate the drag reduction on a heavy-duty vehicle using dielectric-barrier discharge plasma actuators located on the A-pillars. An experimental campaign is carried out on a…

physics.flu-dyn2026

Meshless Super-Resolution of Scattered Data via constrained RBFs and KNN-Driven Densification

Iacopo Tirelli, Miguel Alfonso Mendez, Andrea Ianiro +1

We propose a novel meshless method to achieve super resolution from scattered data obtained from sparse, randomly positioned sensors such as the particle tracers of particle tracki…

cs.LG2025

Sensor optimization for urban wind estimation with cluster-based probabilistic framework

Yutong Liang, Chang Hou, Guy Y. Cornejo Maceda +8

We propose a physics-informed machine-learned framework for sensor-based flow estimation for drone trajectories in complex urban terrain. The input is a rich set of flow simulation…