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4:45 PM
Non-linear reduction for data-driven non-intrusive reduced-order models with parallel autoencoders
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Aly Karim Yehia
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4:48 PM
A continuous trainable filter for convolution with unstructured data
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Dario Coscia
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4:51 PM
Comparing Different Nonlinear Dimensionality Reduction Techniques for Data-Driven Unsteady Fluid Flow Modeling
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Hunor Csala
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4:54 PM
SHOPROMs: SHip Optimization with Reduced Order Methods
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Lorenzo Fabris
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4:57 PM
A Digital Twin of an Operating Theater
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Giovanna Gargiulo
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5:00 PM
Adjacency-based DMD on Deforming Grids for Vortex-Induced Vibrations
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Leonidas Konstantinos Gkimisis
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5:03 PM
A novel deep learning architecture for the model reduction of parametric time-dependent problems
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Isabella Carla Gonnella
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5:06 PM
A data-driven reduced order modeling framework for shape optimization of marine propellers
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Anna Ivagnes
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5:09 PM
ROM for Large-scale Modelling of Urban Air Pollution
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Moaad Khamlich
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5:12 PM
A reduced order model for segregated FSI solvers based on a ALE approach
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Valentin Nkana
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5:15 PM
A Numerical Proof of Shell Model Turbulence Closure
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Giulio Ortali
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5:18 PM
Machine Learning and Optimal Transport for shape parametrisation
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Guglielmo Padula
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5:21 PM
Data Driven Methods for Delay-Differential Equations
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Alessandro Pecile
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5:24 PM
A reduced order model for the optimisation-based domain decomposition algorithm for the incompressible Navier-Stokes equations
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Ivan Prusak
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5:27 PM
Reduced order model of airflow in a room with two unidirectional air diffusers
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Dario Pupic
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5:30 PM
A machine learning-based reduced order model for the investigation of the haemodynamics in coronary artery bypass grafts
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Piefrancesco Siena
