7 citations · 7 across the 3 of their papers we have counts for
5 papers
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…
Scalable Balanced Training of Conditional Generative Adversarial Neural Networks on Image Data
Massimiliano Lupo Pasini, Vittorio Gabbi, Junqi Yin +2
We propose a distributed approach to train deep convolutional generative adversarial neural network (DC-CGANs) models. Our method reduces the imbalance between generator and discri…
A Dimension-Reduction Model for Brittle Fractures on Thin Shells with Mesh Adaptivity
Stefano Almi, Sandro Belz, Stefano Micheletti +1
In this paper we derive a new two-dimensional brittle fracture model for thin shells via dimension reduction, where the admissible displacements are only normal to the shell surfac…
Wavelet-Fourier CORSING techniques for multi-dimensional advection-diffusion-reaction equations
Simone Brugiapaglia, Stefano Micheletti, Fabio Nobile +1
We present and analyze a novel wavelet-Fourier technique for the numerical treatment of multidimensional advection-diffusion-reaction equations based on the CORSING (COmpRessed Sol…