LNF: STRANAI: STRAtegic network for Nuclear fusion research acceleration through Artificial Intelligence techniques: Difference between revisions
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== LNF - Nationally funded project == | == LNF - Nationally funded project == | ||
[[File:Logos_MinFederAEI.jpg|thumb|right|300px|Ayuda PID2024-157659OB-I00 financiada por MICIU/AEI/10.13039/501100011033 y por FEDER Una manera de hacer Europa.]] | |||
'''Title''': '''STRANAI: STRAtegic network for Nuclear fusion research acceleration through Artificial Intelligence techniques''' | '''Title''': '''STRANAI: STRAtegic network for Nuclear fusion research acceleration through Artificial Intelligence techniques''' | ||
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'''Area/subarea (Área temática / subárea)''': Energía / Ciencias físicas | '''Area/subarea (Área temática / subárea)''': Energía / Ciencias físicas | ||
'''Principal Investigator(s)''': | '''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 == | ||
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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. | 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. | ||
== Main results == | |||
To be completed at the end of the project (taken from the final report) | |||
== Dissemination of project results (peer-reviewed publications and conference presentations) == | |||
Enter text here | |||
== References == | == References == | ||
Latest revision as of 20:39, 27 April 2026
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): 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.
Main results
To be completed at the end of the project (taken from the final report)
Dissemination of project results (peer-reviewed publications and conference presentations)
Enter text here
References