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

From FusionWiki
Jump to navigation Jump to search
← Older editNewer edit →
Gratta (talk | contribs)
16 edits
Gratta (talk | contribs)
16 edits
Update STRANAI project data, publications, conferences and outreach to 27 October 2026; correct funding reference and end date; distinguish earlier work and submitted manuscript.
Line 1: Line 1:
== 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.
* '''Funding programme:''' Redes de Investigación, convocatoria 2024; strategic network (infrastructure / international organisation).
* '''Funding body:''' Agencia Estatal de Investigación (AEI).
* '''Coordinating institution:''' Laboratorio Nacional de Fusión, CIEMAT, Madrid, Spain.
* '''Coordinator:''' [https://orcid.org/0000-0002-5676-9631 Giuseppe Rattá Gutiérrez].
* '''Duration:''' 1 May 2025 - 30 April 2027 (24 months).
* '''Funding granted:''' EUR 65,000.
* '''Website:''' [https://sites.fusion.ciemat.es/stranai/ STRANAI].
* '''News:''' [https://sites.fusion.ciemat.es/stranai/articles/ STRANAI news and dissemination].


[[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.]]
The AEI award resolution identifies STRANAI as RED2024-153593-E and awards EUR 65,000 to CIEMAT. [https://www.aei.gob.es/sites/default/files/convocatory_info/assistants/2025-09/RED2024-RC-Texto%2BAnexo-firmado.pdf Award resolution].


'''Title''': '''STRANAI: STRAtegic network for Nuclear fusion research acceleration through Artificial Intelligence techniques'''
== Description of the project ==
STRANAI brings together Spanish teams working on artificial intelligence, experimental and theoretical plasma physics, and fusion technology. Coordinated by CIEMAT, the network promotes exchange of methods, data and expertise, strengthens cooperation with international partners, and supports Spanish participation in fusion research, including EUROfusion activities.


'''Reference''': RED2024-153593-E
The eight participating groups are:
* Laboratorio Nacional de Fusión (LNF), CIEMAT, Madrid.
* Centro Extremeño de Tecnologías Avanzadas (CETA), CIEMAT, Cáceres.
* Plasma Science and Fusion Technology (PSFT), Universidad de Sevilla.
* Fusion Research Group, Barcelona Supercomputing Center (BSC).
* Departamento de Informática y Automática, Universidad Nacional de Educación a Distancia (UNED), Madrid.
* Consorcio IFMIF-DONES España, Granada.
* Service Robotics Lab, Universidad Pablo de Olavide (UPO), Seville.
* Centre for Automation and Robotics (CAR, CSIC-UPM), Group of Advanced Automation of Machines, Highly Complex Processes and Environments, Madrid.


'''Programme and date''': Proyectos de 2 Años
=== Research lines ===
# [https://sites.fusion.ciemat.es/stranai/research-lines/lr1 Identification of physical events from images and videos].
# [https://sites.fusion.ciemat.es/stranai/research-lines/lr2 Automation of turbulence analysis using Doppler reflectometry].
# [https://sites.fusion.ciemat.es/stranai/research-lines/lr3 Explainable machine learning, physics-informed AI and equation extraction from AI models].
# [https://sites.fusion.ciemat.es/stranai/research-lines/lr4 Shared multi-machine databases and code repositories].
# [https://sites.fusion.ciemat.es/stranai/research-lines/lr5 Plasma control and operational limits].
# [https://sites.fusion.ciemat.es/stranai/research-lines/lr6 Predictive models for disruption mitigation, avoidance and prevention].


'''Programme type (Modalidad de proyecto)''': Red de investigación
== Main results and activities: progress to 27 October 2026 ==
The network is ongoing. The following progress summary covers documented scientific outputs and collaboration activities; it is not the final project report.


'''Area/subarea (Área temática / subárea)''': Energía / Ciencias físicas
* '''Diagnostic data and modelling in TJ-II.''' Collaborative publications address a curated diagnostic database, plasma-density estimation, experimental-signal estimation and net toroidal-current waveform estimation. These outputs provide methods and data for statistical modelling and experimental preparation (references below).
* '''Image and video analysis in JET.''' Work with Alejandro González Ganzábal addresses detection and tracking of transient impurity events (TIEs), building on earlier MARFE-detection methods.
* '''Disruption timing.''' A 2026 study compares SVM, LSTM and transformer models for post-alarm time-to-disruption classification in JET.
* '''DIONE software.''' Daniel Carralero, Alejandro González Ganzábal and Giuseppe Rattá developed DIONE (Doppler peak IdentificatiOn using NEural networks) to automate W7-X Doppler-reflectometry analysis. The CVN records intellectual-property registration 16/2026/3141, dated 27 April 2026. CIEMAT announced the registration on 21 May 2026. [https://www.ciemat.es/w/el-ciemat-registra-dione-un-software-basado-en-inteligencia-artificial-para-acelerar-el-an%C3%A1lisis-de-plasmas-de-fusi%C3%B3n CIEMAT announcement]. The associated Nuclear Fusion manuscript is listed separately as submitted, with acceptance pending in the CVN dated 27 October 2026.
* '''International cooperation.''' Visits and seminars in Chile and Argentina in August-September 2025 strengthened cooperation with PUCV and IEE-UNSJ/CONICET and opened exchanges with CSC-CONICET. A research stay at CINVESTAV, Mexico, from 1 February to 30 April 2026 included a seminar on STRANAI and AID-DAEDALUS. These activities connect AI methods with fusion diagnostics and predictive modelling.


'''Principal Investigator(s)''':  [https://orcid.org/0000-0002-5676-9631 Giuseppe Rattá Gutiérrez]
== Dissemination: publications and conference contributions ==
This list documents collaborations involving G. A. Rattá and A. González Ganzábal, A. Cureño-Ramírez, G. Farías, A. Pardo or J. M. Calle Cancho, as recorded in the coordinator's CVN. Works predating 1 May 2025 are explicitly listed as scientific background. Inclusion here identifies scientific links with the network; it does not by itself establish that each work was funded by STRANAI.


'''Project type''': Proyecto coordinado
=== Peer-reviewed publications during the network period ===
# G. A. Rattá, B. Ph. van Milligen, V. Á. Fuentes Blas, M. Samper, M. Jurado, A. González-Ganzábal and The TJ-II Curated Database Team. '''Data-Driven Estimation of Net Toroidal Plasma Current Waveforms in OH-Programmed TJ-II Discharges.''' ''Plasma'' '''9'''(3), 33 (2026). [https://doi.org/10.3390/plasma9030033 DOI].
# A. Cureño-Ramírez, L. G. de la Fraga, G. A. Rattá, A. González-Ganzábal, A. Baciero, B. López-Miranda, B. van Milligen, A. Pardo, J. Calle-Cancho and TJ-II Team. '''Data-Driven estimation of experimental signals in TJ-II: A proof of principle.''' ''Fusion Engineering and Design'' '''230''', 115847 (2026). [https://doi.org/10.1016/j.fusengdes.2026.115847 DOI].
# G. A. Rattá, A. González, WPTE Team and JET Contributors. '''Post-alarm time-to-disruption classification in disruptive JET discharges: comparison of SVM, LSTM, and transformer models.''' ''Plasma Physics and Controlled Fusion'' '''68''', 055035 (2026). [https://doi.org/10.1088/1361-6587/ae6945 DOI].
# A. González Ganzábal, G. A. Rattá, T. Estrada, J. Martínez-Fernández, N. Panadero, Á. Cappa, B. López-Miranda, A. Baciero, F. Martín, D. Tafalla, B. P. van Milligen, F. Medina, Á. de la Peña and S. Dormido-Canto. '''A comprehensive database of TJ-II signals and diagnostics for statistically based models.''' ''Fusion Engineering and Design'' '''224''', 115613 (March 2026). [https://doi.org/10.1016/j.fusengdes.2025.115613 DOI].
# P. A. Aguayo Vallejos, G. Farías, A. González Ganzábal, E. Fabregas, T. Estrada, B. P. van Milligen, A. Baciero, B. López-Miranda, F. Medina and G. A. Rattá. '''A data-driven approach to estimate plasma density in TJ-II stellarator.''' ''Fusion Engineering and Design'' '''224''', 115596 (March 2026). [https://doi.org/10.1016/j.fusengdes.2025.115596 DOI].
# A. González Ganzábal, G. A. Rattá, S. Dormido-Canto, P. Carvalho, S. Silburn, I. Coffey and I. Balboa; JET/WPTE collaboration signatures recorded in the CVN. '''A methodology for TIE detection and tracking for JET's experimental cameras.''' ''Fusion Engineering and Design'' '''218''', 115164 (2025). [https://doi.org/10.1016/j.fusengdes.2025.115164 DOI].


'''Start-end dates''': 01/05/2025 - 31/04/2027
=== Submitted manuscript ===
* A. González Ganzábal, E. Maragkoudakis, D. Carralero, T. Estrada, T. Windisch, S. Dormido-Canto, G. A. Rattá and W7-X Team. '''DIONE: Automating the Analysis of W7-X Doppler Reflectometry Data with neural networks.''' Submitted to ''Nuclear Fusion''; acceptance pending according to the CVN dated 27 October 2026. This manuscript is distinct from the registered DIONE software.


'''Financing granted (direct costs)''': 65000 €
=== Conference contributions during the network period ===
 
# G. A. Rattá and collaborators, including J. M. Calle Cancho, G. Farías and P. Aguayo in the institutional dissemination record. '''Towards AI-based surrogate models for pulse design. Pre-pulse prediction on the TJ-II stellarator.''' Oral contribution, 34th Symposium on Fusion Technology (SOFT 2026), Aix-en-Provence, France, 21-25 September 2026. [https://www.fusion.ciemat.es/lnf/el-laboratorio-nacional-de-fusion-del-ciemat-muestra-su-actividad-cientifica-en-el-34-o-congreso-de-tecnologia-de-fusion/ CIEMAT report].
== Description of the project ==
# A. González Ganzábal, G. A. Rattá, T. Estrada, J. Martínez-Fernández, N. Panadero, Á. Cappa, B. López-Miranda, A. Baciero, F. Martín, D. Tafalla, B. P. van Milligen, F. Medina, Á. de la Peña, S. Dormido-Canto and TJ-II Team. '''Development of a standardised TJ-II database for Machine Learning models and applications.''' Poster, 25th International Stellarator-Heliotron Workshop (ISHW 2026), Córdoba, Spain, 20-24 April 2026.
# A. González Ganzábal, E. Maragkoudakis, D. Carralero, T. Estrada, T. Windisch, S. Dormido-Canto, G. A. Rattá and W7-X Team. '''DIONE: Automating the analysis of W7-X Doppler Reflectometry data with neural networks.''' FuseNet PhD Event 2025, ITER, Saint-Paul-lès-Durance, France, 4-6 November 2025; presented by A. González Ganzábal. [https://indico.fusenet.eu/event/57/overview Event website].


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.
=== Scientific background: publications before the network period ===
# A. González Ganzábal, G. A. Rattá, D. Gadariya, S. Dormido-Canto and JET Contributors. '''Advancing MARFE detection in JET's operational camera videos through Machine Learning techniques.''' ''Fusion Engineering and Design'' '''205''', 114534 (2024). [https://doi.org/10.1016/j.fusengdes.2024.114534 DOI].
# G. A. Rattá, J. Vega, A. Murari, D. Gadariya, C. Stuart and G. Farías. '''Characterization of physics events in JET preceding disruptions.''' ''Fusion Engineering and Design'' '''189''', 113468 (2023). [https://doi.org/10.1016/j.fusengdes.2023.113468 DOI].
# G. Farías, S. Dormido-Canto, J. Vega, G. Rattá and collaborators. '''Automatic feature extraction in large fusion databases by using deep learning approach.''' ''Fusion Engineering and Design'' '''112''', 979-983 (2016). [https://doi.org/10.1016/j.fusengdes.2016.06.016 DOI].
# G. A. Rattá, J. Vega, A. Pereira, A. Portas, E. de la Luna, S. Dormido-Canto, G. Farías, R. Dormido, J. Sánchez, N. Duro, H. Vargas, M. Santos, G. Pajares and A. Murari; JET-EFDA Contributors. '''First applications of structural pattern recognition methods to the investigation of specific physical phenomena at JET.''' ''Fusion Engineering and Design'' '''83'''(2-3), 467-470 (April 2008). [https://doi.org/10.1016/j.fusengdes.2007.09.008 DOI].
# S. Dormido-Canto, G. Farías, R. Dormido, J. Vega, J. Sánchez, N. Duro, H. Vargas, G. Rattá, A. Pereira and A. Portas. '''Structural pattern recognition methods based on string comparison for fusion databases.''' ''Fusion Engineering and Design'' '''83'''(2-3), 421-424 (2008). [https://doi.org/10.1016/j.fusengdes.2007.11.009 DOI].
# J. Vega, G. Rattá, A. Murari, P. Castro, S. Dormido-Canto, R. Dormido, G. Farías, A. Pereira, A. Portas, E. de la Luna, I. Pastor, J. Sánchez, N. Duro, R. Castro, M. Santos and H. Vargas. '''Recent results on structural pattern recognition for Fusion massive databases.''' Proceedings of IEEE WISP 2007 (conference proceedings, not a journal article). [https://doi.org/10.1109/WISP.2007.4447569 DOI].


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.
=== Scientific background: technical report ===
* A. González-Ganzábal, G. A. Rattá, D. Gadariya and S. Dormido. '''Herramientas para la detección de MARFE en JET con cámaras operacionales.''' ''Informes Técnicos CIEMAT'' 1533, 1-32 (2024). This is a technical report, listed separately from peer-reviewed articles.


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.
=== Scientific background: conference and meeting presentations ===
The following contributions are recorded in the coordinator's CVN. Dates are reported at the precision supported by the record; unresolved venue inconsistencies are not reproduced.
# R. S. Granetz, G. A. Rattá, A. González and collaborators. '''Update on the MDC-JA-4 High-Z UFO disruptions.''' 44th ITPA MHD, Disruptions and Control meeting, 22-25 October 2024.
# G. A. Rattá and A. González. '''Comparison of “Classic” and “State-of-the-Art” Machine Learning Techniques to Estimate the Time to Disruption.''' 44th ITPA MDC meeting, 22-25 October 2024.
# G. A. Rattá and A. González. '''A data-driven disruption classifier based on signal anomalies.''' SOFT 2024, Dublin, Ireland, 22-27 September 2024.
# A. González and G. A. Rattá. '''A methodology for TIE detection and tracking for JET's experimental cameras.''' SOFT 2024, Dublin, Ireland, 22-27 September 2024.
# G. A. Rattá and A. González. '''Identification of physics events for the characterization of disruptions in JET.''' SOFT 2024, Dublin, Ireland, 22-27 September 2024.
# G. A. Rattá and A. González. '''Estimating Time to Disruption Using Transformer Models.''' Third IAEA Technical Meeting on Plasma Disruptions and their Mitigation, ITER, Saint-Paul-lès-Durance, France, 3-6 September 2024. The CVN distinguishes this slide title from the programme title, ''Time-to-Disruption Estimation Using LSTM Networks''. [https://conferences.iaea.org/event/380/contributions/32299/ Contribution record].
# R. S. Granetz, G. A. Rattá, A. González and collaborators. '''MDC-JA-4 High-Z UFO disruptions.''' 43rd ITPA MDC meeting, 22-26 April 2024.
# G. Farías, S. Dormido-Canto, J. Vega and G. Rattá. '''Automatic feature extraction in large fusion databases by using deep learning approach.''' 10th IAEA Technical Meeting on Control, Data Acquisition and Remote Participation for Fusion Research, Ahmedabad, India, 20-24 April 2015.
# J. Vega, A. Murari, S. Dormido-Canto, D. Alves, G. Farías, J. M. López, R. Moreno, A. Pereira, J. M. Martínez and G. Rattá. '''Overview of Real-Time Disruption Prediction in JET: Applicability to ITER.''' 41st EPS Conference on Plasma Physics, Berlin, Germany, 23-27 June 2014.
# J. Vega, A. Murari, G. A. Rattá, G. Farías and collaborators. '''An overview about recent developments on advanced data analysis techniques in fusion.''' 6th Workshop on Fusion Data Processing, Validation and Analysis, Madrid, Spain, January 2010.
# J. Vega, G. Rattá, A. Murari, G. Farías and collaborators. '''Recent results on structural pattern recognition for Fusion massive databases.''' IEEE WISP, Alcalá de Henares, Spain, 3-5 October 2007. This is the presentation associated with the proceedings paper listed above.
# S. Dormido-Canto, G. Farías, R. Dormido, J. Sánchez, N. Duro, H. Vargas, J. Vega, G. Rattá, A. Pereira and A. Portas. '''Comparison of structural pattern recognition methods for fusion databases.''' 6th IAEA Technical Meeting on Control, Data Acquisition and Remote Participation for Fusion Research, Inuyama, Japan, June 2007.
# G. A. Rattá, J. Vega, A. Pereira, A. Portas, E. de la Luna, S. Dormido-Canto, G. Farías and collaborators. '''First applications of structural pattern recognition methods to the investigation of specific physical phenomena at JET.''' 6th IAEA Technical Meeting on Control, Data Acquisition and Remote Participation for Fusion Research, Inuyama, Japan, June 2007.


== Main results ==
== Seminars, international collaboration and outreach ==
To be completed at the end of the project (taken from the final report)
* '''18 June 2025, Universidad Pablo de Olavide (Spain).''' Seminar: ''Red estratégica STRANAI: acelerando la investigación en fusión nuclear mediante Inteligencia Artificial'', by G. A. Rattá (CVN).
* '''19 August 2025, PUCV, Valparaíso (Chile).''' Seminar: ''La red STRANAI y el proyecto AID-DAEDALUS: estableciendo sinergias entre fusión nuclear e Inteligencia Artificial'', by G. A. Rattá. [https://www.instagram.com/p/DNYx-GyPAfi/ PUCV announcement].
* '''3 September 2025, IEE-UNSJ/CONICET, San Juan (Argentina).''' Seminar: ''STRANAI y AID-DAEDALUS. Investigación colaborativa en IA y fusión nuclear para impulsar la energía del futuro'', by G. A. Rattá. [https://www.unsj.edu.ar/home/noticias_detalles/9609/2 UNSJ report].
* '''16 September 2025, CSC-CONICET, Buenos Aires (Argentina).''' Seminar: ''Inteligencia artificial, fusión nuclear y supercomputación'', by G. A. Rattá (date and title from CVN).
* '''26 September 2025.''' CIEMAT published a report on the Chile and Argentina collaboration visits. [https://www.fusion.ciemat.es/lnf/la-red-stranai-impulsa-nuevas-colaboraciones-en-latinoamerica-en-inteligencia-artificial-aplicada-a-fusion-nuclear/ Institutional report].
* '''23 March 2026, Department of Computer Science, CINVESTAV (Mexico).''' Seminar on AI for accelerating fusion research and CIEMAT-CINVESTAV collaboration through STRANAI and AID-DAEDALUS, delivered by G. A. Rattá during his February-April 2026 research stay. [https://www.fusion.ciemat.es/lnf/ia-para-acelerar-la-investigacion-en-fusion-nuclear-colaboracion-entre-ciemat-y-cinvestav-en-los-proyectos-aid-daedalus-y-stranai/ CIEMAT report] and [https://www.youtube.com/watch?v=3EMjasIEkwA video].
* '''21 May 2026.''' CIEMAT announced the registration of DIONE. [https://www.ciemat.es/w/el-ciemat-registra-dione-un-software-basado-en-inteligencia-artificial-para-acelerar-el-an%C3%A1lisis-de-plasmas-de-fusi%C3%B3n Institutional news].


== Dissemination of project results (peer-reviewed publications and conference presentations) ==
=== Media coverage of the San Juan activities ===
Enter text here
These links cover the same outreach activity and are not counted as additional scientific presentations:
* [https://www.diariodecuyo.com.ar/columnasdeopinion/con-un-disertante-espanol-se-realizara-un-seminario-sobre-inteligencia-artificial-y-fusion-nuclear-en-la-unsj-1765893.html Diario de Cuyo].
* [https://www.canal13sanjuan.com/tecnologia/inteligencia-artificial-y-energia---un-futuro-comun-en-la-fusion-nuclear-_a68ba462895043f2db4888f4b Canal 13 San Juan].
* [https://www.diarioelzondasj.com.ar/338855-un-seminario-en-san-juan-abordara-la-fusion-nuclear-y-la-inteligencia-artificial Diario El Zonda].


== References ==
== References ==
<references />  
* [https://sites.fusion.ciemat.es/stranai/ Official STRANAI website] and [https://sites.fusion.ciemat.es/stranai/articles/ news].
* [https://www.aei.gob.es/sites/default/files/convocatory_info/assistants/2025-09/RED2024-RC-Texto%2BAnexo-firmado.pdf AEI award resolution, RED2024-153593-E].
* Coordinator's CVN, updated 27 October 2026: bibliographic records, conference contributions, seminars and software registration. Individual publication records are linked through their DOIs above.
<references />


<!-- DO NOT REMOVE THE FOLLOWING LINES -->
<!-- DO NOT REMOVE THE FOLLOWING LINES -->

Revision as of 15:21, 27 October 2026

LNF - Nationally funded project

  • Title: STRANAI: STRAtegic network for Nuclear fusion research acceleration through Artificial Intelligence techniques.
  • Reference: RED2024-153593-E.
  • Funding programme: Redes de Investigación, convocatoria 2024; strategic network (infrastructure / international organisation).
  • Funding body: Agencia Estatal de Investigación (AEI).
  • Coordinating institution: Laboratorio Nacional de Fusión, CIEMAT, Madrid, Spain.
  • Coordinator: Giuseppe Rattá Gutiérrez.
  • Duration: 1 May 2025 - 30 April 2027 (24 months).
  • Funding granted: EUR 65,000.
  • Website: STRANAI.
  • News: STRANAI news and dissemination.

The AEI award resolution identifies STRANAI as RED2024-153593-E and awards EUR 65,000 to CIEMAT. Award resolution.

Description of the project

STRANAI brings together Spanish teams working on artificial intelligence, experimental and theoretical plasma physics, and fusion technology. Coordinated by CIEMAT, the network promotes exchange of methods, data and expertise, strengthens cooperation with international partners, and supports Spanish participation in fusion research, including EUROfusion activities.

The eight participating groups are:

  • Laboratorio Nacional de Fusión (LNF), CIEMAT, Madrid.
  • Centro Extremeño de Tecnologías Avanzadas (CETA), CIEMAT, Cáceres.
  • Plasma Science and Fusion Technology (PSFT), Universidad de Sevilla.
  • Fusion Research Group, Barcelona Supercomputing Center (BSC).
  • Departamento de Informática y Automática, Universidad Nacional de Educación a Distancia (UNED), Madrid.
  • Consorcio IFMIF-DONES España, Granada.
  • Service Robotics Lab, Universidad Pablo de Olavide (UPO), Seville.
  • Centre for Automation and Robotics (CAR, CSIC-UPM), Group of Advanced Automation of Machines, Highly Complex Processes and Environments, Madrid.

Research lines

  1. Identification of physical events from images and videos.
  2. Automation of turbulence analysis using Doppler reflectometry.
  3. Explainable machine learning, physics-informed AI and equation extraction from AI models.
  4. Shared multi-machine databases and code repositories.
  5. Plasma control and operational limits.
  6. Predictive models for disruption mitigation, avoidance and prevention.

Main results and activities: progress to 27 October 2026

The network is ongoing. The following progress summary covers documented scientific outputs and collaboration activities; it is not the final project report.

  • Diagnostic data and modelling in TJ-II. Collaborative publications address a curated diagnostic database, plasma-density estimation, experimental-signal estimation and net toroidal-current waveform estimation. These outputs provide methods and data for statistical modelling and experimental preparation (references below).
  • Image and video analysis in JET. Work with Alejandro González Ganzábal addresses detection and tracking of transient impurity events (TIEs), building on earlier MARFE-detection methods.
  • Disruption timing. A 2026 study compares SVM, LSTM and transformer models for post-alarm time-to-disruption classification in JET.
  • DIONE software. Daniel Carralero, Alejandro González Ganzábal and Giuseppe Rattá developed DIONE (Doppler peak IdentificatiOn using NEural networks) to automate W7-X Doppler-reflectometry analysis. The CVN records intellectual-property registration 16/2026/3141, dated 27 April 2026. CIEMAT announced the registration on 21 May 2026. CIEMAT announcement. The associated Nuclear Fusion manuscript is listed separately as submitted, with acceptance pending in the CVN dated 27 October 2026.
  • International cooperation. Visits and seminars in Chile and Argentina in August-September 2025 strengthened cooperation with PUCV and IEE-UNSJ/CONICET and opened exchanges with CSC-CONICET. A research stay at CINVESTAV, Mexico, from 1 February to 30 April 2026 included a seminar on STRANAI and AID-DAEDALUS. These activities connect AI methods with fusion diagnostics and predictive modelling.

Dissemination: publications and conference contributions

This list documents collaborations involving G. A. Rattá and A. González Ganzábal, A. Cureño-Ramírez, G. Farías, A. Pardo or J. M. Calle Cancho, as recorded in the coordinator's CVN. Works predating 1 May 2025 are explicitly listed as scientific background. Inclusion here identifies scientific links with the network; it does not by itself establish that each work was funded by STRANAI.

Peer-reviewed publications during the network period

  1. G. A. Rattá, B. Ph. van Milligen, V. Á. Fuentes Blas, M. Samper, M. Jurado, A. González-Ganzábal and The TJ-II Curated Database Team. Data-Driven Estimation of Net Toroidal Plasma Current Waveforms in OH-Programmed TJ-II Discharges. Plasma 9(3), 33 (2026). DOI.
  2. A. Cureño-Ramírez, L. G. de la Fraga, G. A. Rattá, A. González-Ganzábal, A. Baciero, B. López-Miranda, B. van Milligen, A. Pardo, J. Calle-Cancho and TJ-II Team. Data-Driven estimation of experimental signals in TJ-II: A proof of principle. Fusion Engineering and Design 230, 115847 (2026). DOI.
  3. G. A. Rattá, A. González, WPTE Team and JET Contributors. Post-alarm time-to-disruption classification in disruptive JET discharges: comparison of SVM, LSTM, and transformer models. Plasma Physics and Controlled Fusion 68, 055035 (2026). DOI.
  4. A. González Ganzábal, G. A. Rattá, T. Estrada, J. Martínez-Fernández, N. Panadero, Á. Cappa, B. López-Miranda, A. Baciero, F. Martín, D. Tafalla, B. P. van Milligen, F. Medina, Á. de la Peña and S. Dormido-Canto. A comprehensive database of TJ-II signals and diagnostics for statistically based models. Fusion Engineering and Design 224, 115613 (March 2026). DOI.
  5. P. A. Aguayo Vallejos, G. Farías, A. González Ganzábal, E. Fabregas, T. Estrada, B. P. van Milligen, A. Baciero, B. López-Miranda, F. Medina and G. A. Rattá. A data-driven approach to estimate plasma density in TJ-II stellarator. Fusion Engineering and Design 224, 115596 (March 2026). DOI.
  6. A. González Ganzábal, G. A. Rattá, S. Dormido-Canto, P. Carvalho, S. Silburn, I. Coffey and I. Balboa; JET/WPTE collaboration signatures recorded in the CVN. A methodology for TIE detection and tracking for JET's experimental cameras. Fusion Engineering and Design 218, 115164 (2025). DOI.

Submitted manuscript

  • A. González Ganzábal, E. Maragkoudakis, D. Carralero, T. Estrada, T. Windisch, S. Dormido-Canto, G. A. Rattá and W7-X Team. DIONE: Automating the Analysis of W7-X Doppler Reflectometry Data with neural networks. Submitted to Nuclear Fusion; acceptance pending according to the CVN dated 27 October 2026. This manuscript is distinct from the registered DIONE software.

Conference contributions during the network period

  1. G. A. Rattá and collaborators, including J. M. Calle Cancho, G. Farías and P. Aguayo in the institutional dissemination record. Towards AI-based surrogate models for pulse design. Pre-pulse prediction on the TJ-II stellarator. Oral contribution, 34th Symposium on Fusion Technology (SOFT 2026), Aix-en-Provence, France, 21-25 September 2026. CIEMAT report.
  2. A. González Ganzábal, G. A. Rattá, T. Estrada, J. Martínez-Fernández, N. Panadero, Á. Cappa, B. López-Miranda, A. Baciero, F. Martín, D. Tafalla, B. P. van Milligen, F. Medina, Á. de la Peña, S. Dormido-Canto and TJ-II Team. Development of a standardised TJ-II database for Machine Learning models and applications. Poster, 25th International Stellarator-Heliotron Workshop (ISHW 2026), Córdoba, Spain, 20-24 April 2026.
  3. A. González Ganzábal, E. Maragkoudakis, D. Carralero, T. Estrada, T. Windisch, S. Dormido-Canto, G. A. Rattá and W7-X Team. DIONE: Automating the analysis of W7-X Doppler Reflectometry data with neural networks. FuseNet PhD Event 2025, ITER, Saint-Paul-lès-Durance, France, 4-6 November 2025; presented by A. González Ganzábal. Event website.

Scientific background: publications before the network period

  1. A. González Ganzábal, G. A. Rattá, D. Gadariya, S. Dormido-Canto and JET Contributors. Advancing MARFE detection in JET's operational camera videos through Machine Learning techniques. Fusion Engineering and Design 205, 114534 (2024). DOI.
  2. G. A. Rattá, J. Vega, A. Murari, D. Gadariya, C. Stuart and G. Farías. Characterization of physics events in JET preceding disruptions. Fusion Engineering and Design 189, 113468 (2023). DOI.
  3. G. Farías, S. Dormido-Canto, J. Vega, G. Rattá and collaborators. Automatic feature extraction in large fusion databases by using deep learning approach. Fusion Engineering and Design 112, 979-983 (2016). DOI.
  4. G. A. Rattá, J. Vega, A. Pereira, A. Portas, E. de la Luna, S. Dormido-Canto, G. Farías, R. Dormido, J. Sánchez, N. Duro, H. Vargas, M. Santos, G. Pajares and A. Murari; JET-EFDA Contributors. First applications of structural pattern recognition methods to the investigation of specific physical phenomena at JET. Fusion Engineering and Design 83(2-3), 467-470 (April 2008). DOI.
  5. S. Dormido-Canto, G. Farías, R. Dormido, J. Vega, J. Sánchez, N. Duro, H. Vargas, G. Rattá, A. Pereira and A. Portas. Structural pattern recognition methods based on string comparison for fusion databases. Fusion Engineering and Design 83(2-3), 421-424 (2008). DOI.
  6. J. Vega, G. Rattá, A. Murari, P. Castro, S. Dormido-Canto, R. Dormido, G. Farías, A. Pereira, A. Portas, E. de la Luna, I. Pastor, J. Sánchez, N. Duro, R. Castro, M. Santos and H. Vargas. Recent results on structural pattern recognition for Fusion massive databases. Proceedings of IEEE WISP 2007 (conference proceedings, not a journal article). DOI.

Scientific background: technical report

  • A. González-Ganzábal, G. A. Rattá, D. Gadariya and S. Dormido. Herramientas para la detección de MARFE en JET con cámaras operacionales. Informes Técnicos CIEMAT 1533, 1-32 (2024). This is a technical report, listed separately from peer-reviewed articles.

Scientific background: conference and meeting presentations

The following contributions are recorded in the coordinator's CVN. Dates are reported at the precision supported by the record; unresolved venue inconsistencies are not reproduced.

  1. R. S. Granetz, G. A. Rattá, A. González and collaborators. Update on the MDC-JA-4 High-Z UFO disruptions. 44th ITPA MHD, Disruptions and Control meeting, 22-25 October 2024.
  2. G. A. Rattá and A. González. Comparison of “Classic” and “State-of-the-Art” Machine Learning Techniques to Estimate the Time to Disruption. 44th ITPA MDC meeting, 22-25 October 2024.
  3. G. A. Rattá and A. González. A data-driven disruption classifier based on signal anomalies. SOFT 2024, Dublin, Ireland, 22-27 September 2024.
  4. A. González and G. A. Rattá. A methodology for TIE detection and tracking for JET's experimental cameras. SOFT 2024, Dublin, Ireland, 22-27 September 2024.
  5. G. A. Rattá and A. González. Identification of physics events for the characterization of disruptions in JET. SOFT 2024, Dublin, Ireland, 22-27 September 2024.
  6. G. A. Rattá and A. González. Estimating Time to Disruption Using Transformer Models. Third IAEA Technical Meeting on Plasma Disruptions and their Mitigation, ITER, Saint-Paul-lès-Durance, France, 3-6 September 2024. The CVN distinguishes this slide title from the programme title, Time-to-Disruption Estimation Using LSTM Networks. Contribution record.
  7. R. S. Granetz, G. A. Rattá, A. González and collaborators. MDC-JA-4 High-Z UFO disruptions. 43rd ITPA MDC meeting, 22-26 April 2024.
  8. G. Farías, S. Dormido-Canto, J. Vega and G. Rattá. Automatic feature extraction in large fusion databases by using deep learning approach. 10th IAEA Technical Meeting on Control, Data Acquisition and Remote Participation for Fusion Research, Ahmedabad, India, 20-24 April 2015.
  9. J. Vega, A. Murari, S. Dormido-Canto, D. Alves, G. Farías, J. M. López, R. Moreno, A. Pereira, J. M. Martínez and G. Rattá. Overview of Real-Time Disruption Prediction in JET: Applicability to ITER. 41st EPS Conference on Plasma Physics, Berlin, Germany, 23-27 June 2014.
  10. J. Vega, A. Murari, G. A. Rattá, G. Farías and collaborators. An overview about recent developments on advanced data analysis techniques in fusion. 6th Workshop on Fusion Data Processing, Validation and Analysis, Madrid, Spain, January 2010.
  11. J. Vega, G. Rattá, A. Murari, G. Farías and collaborators. Recent results on structural pattern recognition for Fusion massive databases. IEEE WISP, Alcalá de Henares, Spain, 3-5 October 2007. This is the presentation associated with the proceedings paper listed above.
  12. S. Dormido-Canto, G. Farías, R. Dormido, J. Sánchez, N. Duro, H. Vargas, J. Vega, G. Rattá, A. Pereira and A. Portas. Comparison of structural pattern recognition methods for fusion databases. 6th IAEA Technical Meeting on Control, Data Acquisition and Remote Participation for Fusion Research, Inuyama, Japan, June 2007.
  13. G. A. Rattá, J. Vega, A. Pereira, A. Portas, E. de la Luna, S. Dormido-Canto, G. Farías and collaborators. First applications of structural pattern recognition methods to the investigation of specific physical phenomena at JET. 6th IAEA Technical Meeting on Control, Data Acquisition and Remote Participation for Fusion Research, Inuyama, Japan, June 2007.

Seminars, international collaboration and outreach

  • 18 June 2025, Universidad Pablo de Olavide (Spain). Seminar: Red estratégica STRANAI: acelerando la investigación en fusión nuclear mediante Inteligencia Artificial, by G. A. Rattá (CVN).
  • 19 August 2025, PUCV, Valparaíso (Chile). Seminar: La red STRANAI y el proyecto AID-DAEDALUS: estableciendo sinergias entre fusión nuclear e Inteligencia Artificial, by G. A. Rattá. PUCV announcement.
  • 3 September 2025, IEE-UNSJ/CONICET, San Juan (Argentina). Seminar: STRANAI y AID-DAEDALUS. Investigación colaborativa en IA y fusión nuclear para impulsar la energía del futuro, by G. A. Rattá. UNSJ report.
  • 16 September 2025, CSC-CONICET, Buenos Aires (Argentina). Seminar: Inteligencia artificial, fusión nuclear y supercomputación, by G. A. Rattá (date and title from CVN).
  • 26 September 2025. CIEMAT published a report on the Chile and Argentina collaboration visits. Institutional report.
  • 23 March 2026, Department of Computer Science, CINVESTAV (Mexico). Seminar on AI for accelerating fusion research and CIEMAT-CINVESTAV collaboration through STRANAI and AID-DAEDALUS, delivered by G. A. Rattá during his February-April 2026 research stay. CIEMAT report and video.
  • 21 May 2026. CIEMAT announced the registration of DIONE. Institutional news.

Media coverage of the San Juan activities

These links cover the same outreach activity and are not counted as additional scientific presentations:

References


Back to list of nationally funded projects

Retrieved from "http://wiki.fusenet.eu/fusionwiki/index.php?title=LNF:_STRANAI:_STRAtegic_network_for_Nuclear_fusion_research_acceleration_through_Artificial_Intelligence_techniques&oldid=8701"