Steriva
PhD Student in Energy and Nuclear Science and Technology at Politecnico di Milano.
Department of Energy (Nuclear Reactors Group) - Politecnico di MilanoVia La Masa 34, Milano (Italy)
Pinned Repositories
MP-pyISFenix
PYthon framework for the Incompressible Schrodinger Flow using FENIcsX
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.
FEniCSx-tutorials
Tutorials for FEniCSx - Take a Look at ERMETE-LAB/MP-OFELIA
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-OFELIA
Openmc-FEnicsx for muLtiphysics tutorIAl
MP-pyISFenix
PYthon framework for the Incompressible Schrodinger Flow using FENIcsX
PINNs-pyTorch
PyTorch Implementation of Physics-informed Neural Networks
pypiexample
Steriva
Steriva's Repositories
Steriva/FEniCSx-tutorials
Tutorials for FEniCSx - Take a Look at ERMETE-LAB/MP-OFELIA
Steriva/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.
Steriva/PINNs-pyTorch
PyTorch Implementation of Physics-informed Neural Networks
Steriva/Steriva
Steriva/MP-OFELIA
Openmc-FEnicsx for muLtiphysics tutorIAl
Steriva/MP-pyISFenix
PYthon framework for the Incompressible Schrodinger Flow using FENIcsX
Steriva/pypiexample
Steriva/pysindy
A package for the sparse identification of nonlinear dynamical systems from data
Steriva/ROSE-pyforce
Python Framework for data-driven model Order Reduction of multi-physiCs problEms
Steriva/ROSE-ROM4FOAM
Techniques of Reduced Order Modelling for Data Assimilation using OpenFOAM-6.