LNF: STRANAI: STRAtegic network for Nuclear fusion research acceleration through Artificial Intelligence techniques: Difference between revisions

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'''Area/subarea (Área temática / subárea)''': Energía / Ciencias físicas
'''Area/subarea (Área temática / subárea)''': Energía / Ciencias físicas


'''Principal Investigator(s)''': Giuseppe Rattá Gutiérrez [https://orcid.org/ 0000-0002-5676-9631]
'''Principal Investigator(s)''': [https://orcid.org/ 0000-0002-5676-9631 Giuseppe Rattá Gutiérrez]


'''Project type''': Proyecto coordinado
'''Project type''': Proyecto coordinado
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'''Financing granted (direct costs)''': 65000 €
'''Financing granted (direct costs)''': 65000 €


== Description of the project ==
== Description of the project ==

Latest revision as of 12:15, 28 July 2025

LNF - Nationally funded project

Title: STRANAI: STRAtegic network for Nuclear fusion research acceleration through Artificial Intelligence techniques

Reference: RED2024-153593-E

Programme and date: Proyectos de 2 Años

Programme type (Modalidad de proyecto): Red de investigación

Area/subarea (Área temática / subárea): Energía / Ciencias físicas

Principal Investigator(s): 0000-0002-5676-9631 Giuseppe Rattá Gutiérrez

Project type: Proyecto coordinado

Start-end dates: 01/05/2025 - 31/04/2027

Financing granted (direct costs): 65000 €

Description of the project

STRANAI is a national strategic network coordinated by the Laboratorio Nacional de Fusión (CIEMAT) that connects eight leading Spanish research groups in the fields of artificial intelligence, plasma physics, and fusion technology. The goal is to promote national and international collaboration, particularly within the framework of EUROfusion, through the development and application of AI tools to critical challenges in magnetic confinement fusion.

The network focuses on six research lines: (1) detection of physical events from videos and images, (2) automation of turbulence analysis via Doppler reflectometry, (3) development of explainable and physics-informed AI models, (4) creation of shared data and code repositories, (5) plasma control and operational limits, and (6) disruption prediction and mitigation.

Participating groups include CIEMAT-LNF, BSC, UNED, CETA-CIEMAT, IFMIF-DONES, UPO, CAR (CSIC-UPM), and the PSFT group at the University of Seville. The network benefits from access to major international facilities and HPC resources. STRANAI aims to develop transferable tools and methodologies for devices such as ITER, DEMO, SMART, and IFMIF-DONES.


References



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