Publications of V. Artigues

Journal Article (9)

1.
Journal Article
Maggi, C. F.; Abate, D.; Abid, N.; Abreu, P.; Adabonyan, O.; Afzal, M.; Ahmad, I.; Akhtar, M.; Albanese, R.; Aleiferis, S. et al.: Overview of T and D–T results in JET with ITER-like wall. Nuclear Fusion 64, 112012 (2024)
2.
Journal Article
Murari, A.; Rossi, R.; Craciunescu, T.; Vega, J.; JET Contributors; Mailloux, J.; Abid, N.; Abraham, K.; Abreu, P.; Adabonyan, O. et al.: A control oriented strategy of disruption prediction to avoid the configuration collapse of tokamak reactors. Nature Communications 15, 2424 (2024)
3.
Journal Article
Zohm, H.; Alessi, E.; Angioni, C.; Arden, N.; Artigues, V.; Astrain, M.; Asunta, O.; Balden, M.; Bandaru, V.; Banon Navarro, A. et al.: Overview of ASDEX upgrade results in view of ITER and DEMO. Nuclear Fusion 64, 112001 (2024)
4.
Journal Article
Artigues, V.; Vries, P. C. d.; Jenko, F.; JET Contributors: A shapelet-based neural network for binary and multi-class disruption prediction for prevention at JET. Physics of Plasmas 30, 082506 (2023)
5.
Journal Article
Mailloux, J.; Abid, N.; Abraham, K.; Abreu, P.; Adabonyan, O.; Adrich, P.; Afanasev, V.; Afzal, M.; Ahlgren, T.; Aho-Mantila, L. et al.: Overview of JET results for optimising ITER operation. Nuclear Fusion 62, 042026 (2022)
6.
Journal Article
Mazzi, S.; Garcia, J.; Zarzoso, D.; Kazakov, Y. O.; Ongena, J.; Dreval, M.; Nocente, M.; Stancar, Z.; Szepesi, G.; Eriksson, J. et al.: Enhanced performance in fusion plasmas through turbulence suppression by megaelectronvolt ions. Nature Physics 18, pp. 776 - 782 (2022)
7.
Journal Article
Stroth, U.; Aguiam, D.; Alessi, E.; Angioni, C.; Arden, N.; Arredondo Parra, R.; Artigues, V.; Asunta, O.; Balden, M.; Bandaru, V. et al.: Progress from ASDEX Upgrade experiments in preparing the physics basis of ITER operation and DEMO scenario development. Nuclear Fusion 62, 042006 (2022)
8.
Journal Article
Vega, J.; Murari, A.; Dormido-Canto, S.; Ratta, G. A.; Gelfusa, M.; JET Contributors; Mailloux, J.; Abid, N.; Abraham, K.; Abreu, P. et al.: Disruption prediction with artificial intelligence techniques in tokamak plasmas. Nature Physics 18, pp. 741 - 750 (2022)
9.
Journal Article
Artigues, V.; Kormann, K.; Rampp, M.; Reuter, K.: Evaluation of performance portability frameworks for the implementation of a particle‐in‐cell code. Concurrency and Computing: Practice and Experience 32 (11), e5640 (2020)

Meeting Abstract (1)

10.
Meeting Abstract
Artigues, V.; Jenko, F.: Investigation of disruptions at JET using interpretable machine learning methods. In: Verhandlungen der Deutschen Physikalischen Gesellschaft, (VI) 55 (1), P 5.9. DPG-Frühjahrstagung der Sektion Atome, Moleküle, Quantenoptik und Plasmen (SAMOP), Hannover, March 08, 2020 - March 13, 2020. DPG, Bad Honnef (submitted)

Talk (1)

11.
Talk
Artigues, V.; Jenko, F.; JET Contributors: Multi-class disruption prediction at JET using a shapelet based neural-network. DPG-Tagung der Sektion Materie und Kosmos (SMuK), Virtual (submitted)

Poster (1)

12.
Poster
Artigues, V.; Jenko, F.: Analysis of disruption prediction methods on a per disruption-cause basis. DPG-Frühjahrstagung 2019 der Sektion Materie und Kosmos (SMuK), München (submitted)

Thesis - PhD (1)

13.
Thesis - PhD
Artigues, V.: Multi-Class and Cross-Tokamak Disruption Prediction using Shapelet-Based Neural Networks. Dissertation, 155 pp., Technische Universität München, München (2023)

Report (1)

14.
Report
Artigues, V. M. A.: Multi-Class and Cross-Tokamak Disruption Prediction using Shapelet-Based Neural Networks. Max-Planck-Institut für Plasmaphysik, Garching (2024), 139 pp.
Esc