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@ERMETE-Lab

ERMETE-Lab

Engineering for nuclear Reactors probleMs with advancEd simulaTions and modElling (Prof. Antonio Cammi)

ERMETE - Engineering for nuclear Reactors probleMs with advancEd simulaTions and modElling

Welcome to the ERMETE research lab within the Nuclear Reactors Group (NRG) in Politecnico di Milano. We are dedicated to advancing nuclear reactor technology through innovative simulations and modeling techniques.

ERMETE-Lab

About Us 🏫

The ERMETE lab is led by Prof. Antonio Cammi and is part of the Nuclear Reactors Group at Politecnico di Milano. Our research covers a broad range of topics in nuclear engineering, focusing on multi-physics modeling, reduced order modeling, and data-driven techniques.

Research Areas 🔍

Multi-Physics (MP) ⚛️

  • Objective: Modelling nuclear reactors by considering the inter-connections between different physical fields such as neutronics and thermal-hydraulics and investigation of innovative reactor concepts and advanced flow simulation techniques.

Reduced Order Modelling with Data-Driven Techniques for Multi-Physics Problems (ROSE) 🤖

  • Objective: Develop numerical algorithms to reduce the complexity and learning the dynamics of multi-physics models for nuclear reactor applications, optimize sensor placement and integrate real measurements to enhance the understanding of physical systems, pushing forward the development of digital twins.

Magneto-HydroDynamic (MHD) 🧲

  • Objective: Develop an open-source OpenFOAM library for MHD simulations, with a particular emphasis on practical applications within the domain of magnetic confinement fusion.

Contact Us 📬

  • Email: [email protected]
  • Address: Politecnico di Milano, Via La Masa 34, 20156 Milano (MI), Italy

Disclaimer: The codes developed by our lab intended for academic and research purposes.


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  1. ROSE-ROM4FOAM Public

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

    C 8 3

Repositories

Showing 8 of 8 repositories
  • .github Public
    0 0 0 0 Updated Apr 1, 2025
  • pDMD Public

    Implementation of Parametric Dynamic Mode Decomposition methods - with pyDMD as backend

    Jupyter Notebook 1 MIT 0 0 0 Updated Apr 1, 2025
  • NuSHRED Public

    Shallow Recurrent Decoder for Nuclear Reactors applications

    Jupyter Notebook 3 MIT 0 0 0 Updated Mar 13, 2025
  • ROSE-pyforce Public

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

    Jupyter Notebook 11 MIT 5 0 0 Updated Jan 19, 2025
  • MP-pyISFenix Public

    PYthon framework for the Incompressible Schrodinger Flow using FENIcsX

    Python 1 MIT 1 0 0 Updated Sep 19, 2024
  • C 1 MIT 0 0 0 Updated Sep 6, 2024
  • MP-OFELIA Public

    Openmc-FEnicsx for muLtiphysics tutorIAl

    Jupyter Notebook 16 MIT 5 0 0 Updated Jul 29, 2024
  • ROSE-ROM4FOAM Public

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

    C 8 MIT 3 0 0 Updated Jun 11, 2024

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