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SISSA mathLab
Interdisciplinary Computational Sciences for Innovation
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Pasquale Claudio Africa
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SISSA mathLab
Apr 9
Integrating C++ and Python for Scientific Computing
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Guglielmo Padula
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SISSA mathLab
Mar 17
Trees applied to Reduced Order Modelling and Operator Learning
Introduction
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Francesco Romor
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SISSA mathLab
Mar 11
Solving parametric PDEs on solution manifolds parametrized by neural networks
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Niccolo Tonicello
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SISSA mathLab
Mar 7
Implicit Large-Eddy Simulations: lazy shortcut or numerical dark magic? Kinda both…
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Dario Coscia
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SISSA mathLab
Feb 18
Blending Neural Networks with Physics: the Physics-Informed Neural Network
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Mursal Furqan Kumbhar
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SISSA mathLab
Nov 19, 2023
ARGOS — Turning your data into Simulations
An Advanced Reduced Order Modelling portal
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Guglielmo Padula
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SISSA mathLab
Nov 13, 2023
Deep Learning applied to NonIntrusive Reduced Order Modelling and Parameter Reduction
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Arash Hajisharifi
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SISSA mathLab
Oct 14, 2023
Unleashing the Power of Reduced Order Models in CFD-DEM Simulations
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Andrea Mola
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SISSA mathLab
Sep 14, 2023
Thermal welding success prediction tool for paper-based polylaminate beverage packages
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Dario Coscia
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SISSA mathLab
Aug 7, 2023
How will Deep Learning be used to speed up Physical Simulations?
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About
SISSA mathLab
SISSA mathlab is a laboratory for mathematical modeling and scientific computing devoted to the interactions between mathematics and its applications.
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