output
20202026
most citedA multi-fidelity approach coupling parameter space reduction and non-intrusive POD with application to structural optimization of passenger ship hulls

32 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

6 papers

astro-ph.IM2026

Characterization of the MUSE NFM PSF as a function of atmospheric conditions: TipTop calibration

Enrico Congiu, Fuyan Bian, Carlo F. Manara +8

The Multi Unit Spectroscopic Explorer (MUSE) achieves exceptional spatial resolution in narrow-field mode (NFM) thanks to the GALACSI adaptive optics (AO) system. However, limitati…

eess.SY2025

A Preliminary Assessment of Shipboard Power System Architectures for LVDC Integration

D. Roncagliolo, M. Gallo, D. Kaza +3

The adoption of low-voltage direct current sections within grid architectures is emerging as a promising design option in the naval sector. This paper presents a preliminary compar…

math.NA2024★ 1 cited

Data-driven parameterization refinement for the structural optimization of cruise ship hulls

Lorenzo Fabris, Marco Tezzele, Ciro Busiello +2

In this work, we focus on the early design phase of cruise ship hulls, where the designers are tasked with ensuring the structural resilience of the ship against extreme waves whil…

stat.AP2024★ 6 cited

Alternative ranking measures to predict international football results

Roberto Macrì Demartino, Leonardo Egidi, Nicola Torelli

Over the last few years, there has been a growing interest in the prediction and modelling of competitive sports outcomes, with particular emphasis placed on this area by the Bayes…

math.NA2022★ 32 cited

A multi-fidelity approach coupling parameter space reduction and non-intrusive POD with application to structural optimization of passenger ship hulls

Marco Tezzele, Lorenzo Fabris, Matteo Sidari +2

Nowadays, the shipbuilding industry is facing a radical change towards solutions with a smaller environmental impact. This can be achieved with low emissions engines, optimized sha…

math.NA2020★ 24 cited

An efficient computational framework for naval shape design and optimization problems by means of data-driven reduced order modeling techniques

Nicola Demo, Giulio Ortali, Gianluca Gustin +2

This contribution describes the implementation of a data--driven shape optimization pipeline in a naval architecture application. We adopt reduced order models (ROMs) in order to i…