39 citations · 79 across the 19 of their papers we have counts for
7 papers · 1 filter
Scalable Recovery-based Adaptation on Quadtree Meshes for Advection-Diffusion-Reaction Problems
Pasquale Claudio Africa, Simona Perotto, Carlo de Falco
We propose a mesh adaptation procedure for Cartesian quadtree meshes, to discretize scalar advection-diffusion-reaction problems. The adaptation process is driven by a recovery-bas…
A deep learning approach for detection and localization of leaf anomalies
Davide Calabrò, Massimiliano Lupo Pasini, Nicola Ferro +1
The detection and localization of possible diseases in crops are usually automated by resorting to supervised deep learning approaches. In this work, we tackle these goals with uns…
Enhancing level set-based topology optimization with anisotropic graded meshes
Davide Cortellessa, Nicola Ferro, Simona Perotto +1
We propose a new algorithm for the design of topologically optimized lightweight structures, under a minimum compliance requirement. The new process enhances a standard level set f…
A new fluid-based strategy for the connection of non-matching lattice materials
Nicola Ferro, Simona Perotto, Matteo Gavazzoni
We present a new algorithm for the design of the connection region between different lattice materials. We solve a Stokes-type topology optimization problem on a narrow morphing re…
Isogeometric Hierarchical Model Reduction for advection-diffusion process simulation in microchannels
Simona Perotto, Gloria Bellini, Francesco Ballarin +3
Microfluidics proved to be a key technology in various applications, allowing to reproduce large-scale laboratory settings at a more sustainable small-scale. The current effort is…
Hierarchical model reduction driven by machine learning for parametric advection-diffusion-reaction problems in the presence of noisy data
Massimiliano Lupo Pasini, Simona Perotto
We propose a new approach to generate a reliable reduced model for a parametric elliptic problem, in the presence of noisy data. The reference model reduction procedure is the dire…
Multi-physics inverse homogenization for the design of innovative cellular materials: application to thermo-mechanical problems
Matteo Gavazzoni, Nicola Ferro, Simona Perotto +1
We present a new algorithm to design lightweight cellular materials with required properties in a multi-physics context. In particular, we focus on a thermo-mechanical setting, by…