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

2025-10-08T13:03:18Z

Gratta: /* LNF - Nationally funded project */

== 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)''': [https://orcid.org/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 ==
<references />


<hr>
[[LNF:Nationally Funded Projects|Back to list of nationally funded projects]]

[[Category:LNF Nationally Funded Projects]]

LNF: AID-DAEDALUS. : AI Driven Digital twin prototype of the TJ-II and OLMAT for Advanced Experimental Design, Analysis and Leading-edge Understanding of Stellarators physics (2025-2028)

2025-10-08T13:01:32Z

Gratta: Created page with "== LNF - Nationally funded project == '''Title''': '''AID-DAEDALUS. AI Driven Digital twin prototype of the TJ-II and OLMAT for Advanced Experimental Design, Analysis and Leading-edge Understanding of Stellarators physics''' '''Reference''': PID2024-157659OB-I00 '''Programme and date''': Plan Estatal de Investigación Científica, Técnica y de Innovación 2024-2027 '''Programme type (Modalidad de proyecto)''': Proyectos de Generación de Conocimiento 2024 '''Area/s..."

== LNF - Nationally funded project ==

'''Title''': '''AID-DAEDALUS. AI Driven Digital twin prototype of the TJ-II and OLMAT for Advanced Experimental Design, Analysis and Leading-edge Understanding of Stellarators physics'''

'''Reference''': PID2024-157659OB-I00

'''Programme and date''': Plan Estatal de Investigación Científica, Técnica y de Innovación 2024-2027

'''Programme type (Modalidad de proyecto)''': Proyectos de Generación de Conocimiento 2024

'''Area/subarea (Área temática / subárea)''': Energía y transporte / Energía

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

'''Project type''': Proyecto individual

'''Start-end dates''': 01/09/2025 - 30/08/2028

'''Financing granted (direct costs)''': 65000 €

== Description of the project ==

El proyecto AID-DAEDALUS busca crear prototipos de gemelos digitales impulsados por inteligencia artificial de los dispositivos de fusión TJ-II y OLMAT del CIEMAT. Su finalidad es simular, predecir y controlar en tiempo real el comportamiento del plasma y de los materiales sometidos a condiciones extremas, con el fin de optimizar los recursos y reducir los costes de las campañas experimentales. Para ello se aprovechará una amplia base de datos con más de cincuenta mil experimentos del TJ-II y los registros de OLMAT, que servirán para entrenar modelos de redes neuronales capaces de reproducir parámetros como la densidad electrónica, la radiación o los daños en tungsteno, y de generar señales sintéticas cuando las mediciones reales sean incompletas o defectuosas.

Durante tres años se desarrollarán bases de datos estandarizadas, modelos de inteligencia artificial y pruebas de control en tiempo real utilizando el supercomputador Turgalium. El proyecto cuenta con la colaboración de centros nacionales e internacionales y con la participación de varios doctorandos, y se espera que refuerce el liderazgo científico de España en el uso de inteligencia artificial aplicada a la energía de fusión, reduciendo los costes experimentales y promoviendo la transferencia de estas tecnologías a otros dispositivos europeos y a sectores como la ciencia de materiales o los sistemas energéticos avanzados.

== References ==
<references />


<hr>
[[LNF:Nationally Funded Projects|Back to list of nationally funded projects]]

[[Category:LNF Nationally Funded Projects]]

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

2025-07-28T10:15:40Z

Gratta: /* LNF - Nationally funded project */

== 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)''': [https://orcid.org/ 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 ==
<references />


<hr>
[[LNF:Nationally Funded Projects|Back to list of nationally funded projects]]

[[Category:LNF Nationally Funded Projects]]

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

2025-05-27T14:56:23Z

Gratta: /* Description of the project */

== 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 [https://orcid.org/ 0000-0002-5676-9631]

'''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 ==
<references />


<hr>
[[LNF:Nationally Funded Projects|Back to list of nationally funded projects]]

[[Category:LNF Nationally Funded Projects]]

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

2025-05-27T14:55:55Z

Gratta: Created page with "== 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 [https://orcid..."