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Name: Stefano Riva

Type: User

Company: Department of Energy (Nuclear Reactors Group) - Politecnico di Milano

Bio: PhD Student in Energy and Nuclear Science and Technology at Politecnico di Milano.

Location: Via La Masa 34, Milano (Italy)

Hello there, I'm Stefano Riva 👋

I'm a PhD Student in Energy and Nuclear Science and Technology at Politecnico di Milano (ERMETE-Lab).

My research focuses on:

📉 Reduced Order Modelling and Data Assimilation
🔬 Nuclear Reactors Modelling
🌟 Scientific Machine Learning techniques for Nuclear Reactors
🌊 Computational Fluid Dynamics
🔢 Numerical Methods for Nuclear Engineering

Code Packages

If you are interested, have a look at the following routines and packages

Name	Description
pyforce	🚀 Python Framework for data-driven model Order Reduction of multi-physiCs problEms
ROM4FOAM	⚙️ Reduced Order Modelling techniques for OpenFOAM-v6
pyISFenix	🔬 PYthon framework for the Incompressible Schrodinger Flow using FENIcsX

Contact

📫 Email:

🔗 Connect with me:

Stefano Riva's Projects

fenicsx-tutorials

Tutorials for FEniCSx (Finite Element library for Python)

mfm_assignment

This repository collects some codes for the homework assigned at the PhD course 'Modelling from measurements', provided by Professor Kutz and Berizzi at Politecnico di Milano.

mp-pyisfenix

PYthon framework for the Incompressible Schrodinger Flow using FENIcsX

pinns-pytorch

PyTorch Implementation of Physics-informed Neural Networks

pypiexample

pysindy

A package for the sparse identification of nonlinear dynamical systems from data

rose-pyforce

Python Framework for data-driven model Order Reduction of multi-physiCs problEms

rose-rom4foam

Techniques of Reduced Order Modelling for Data Assimilation using OpenFOAM-6.

steriva

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