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Interdisciplinary Computational Sciences for Innovation
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Efficient turbulent compressible flows resolution: a balance between consolidation and innovation
Efficient turbulent compressible flows resolution: a balance between consolidation and innovation
Curiosity on fluid motion laws dates back to the Ancient Greeks: questions about the rules describing fluid flows behaviours started…
Matteo Zancanaro
Nov 14
Model order reduction for thermomechanical phenomena arising in blast furnace hearth
Model order reduction for thermomechanical phenomena arising in blast furnace hearth
Analysing ironmaking process using mathematical models
Nirav Shah
Oct 21
ATHENA: a first step into Active Subspaces
ATHENA: a first step into Active Subspaces
Let’s begin our journey in parameter space reduction using ATHENA
Marco Tezzele
May 3
Continuous casting — Modern techniques to solve an old industrial problem
Continuous casting — Modern techniques to solve an old industrial problem
A numerical approach for heat flux estimation in thin slabs continuous casting molds using data assimilation
Umberto Emil Morelli
Mar 28
Reduced order methods: a step towards patient-specific data assimilation in coronary bypass grafts
Reduced order methods: a step towards patient-specific data assimilation in coronary bypass grafts
Heart diseases, such as coronary artery atherosclerosis and congenital heart defects, are among leading causes of mortality in the…
Zakia Zainib
Mar 13
The mystery of plant nutations: Is mathematics of any help?
The mystery of plant nutations: Is mathematics of any help?
A mathematical model for growing plant shoots
Daniele Agostinelli
Mar 1
Cardiovascular models: towards personalized digital health
Cardiovascular models: towards personalized digital health
Where medicine meets mathematics!
Elisa Fevola
Feb 12
Weighted Model Order Reduction to Quantify Uncertainties
Weighted Model Order Reduction to Quantify Uncertainties
How to use information on the probability distribution of parameters to speed up computations.
Davide Torlo
Jan 31
Simulations of the Marine Environment: parameters, equations, and data
Simulations of the Marine Environment: parameters, equations, and data
Data and equations: a never-ending story!
Maria Strazzullo
Jan 15
ATHENA: Parameter space reduction made easy in Python
ATHENA: Parameter space reduction made easy in Python
Working in high-dimensional spaces can be undesirable for many reasons: raw data are often sparse as a consequence of the curse of…
Marco Tezzele
Jan 6
PyDMD: an easy tool for dynamical systems forecasting
PyDMD: an easy tool for dynamical systems forecasting
The study of dynamical systems is the focus of dynamical systems theory, which has applications to a wide variety of fields such as…
Nicola Demo
Dec 10, 2020
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