{"id":1,"date":"2026-05-08T07:41:15","date_gmt":"2026-05-08T07:41:15","guid":{"rendered":"http:\/\/wpte-ac-ro.tomography.inflpr.ro\/?p=1"},"modified":"2026-05-12T09:04:50","modified_gmt":"2026-05-12T09:04:50","slug":"hello-world","status":"publish","type":"post","link":"https:\/\/wpte-ac-ro.tomography.inflpr.ro\/?p=1","title":{"rendered":"Romanian participation at EUROfusion WPAC and complementary research"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"> <\/p>\n\n\n\n<h1 class=\"wp-block-heading has-large-font-size\"><strong>Project director:<\/strong> <\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Teddy Craciunescu (INFLPR)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">e<strong><em>mail:<\/em><\/strong><a href=\"mailto:teddy.craciunescu@inflpr.ro\"><strong><em>teddy.craciunescu@inflpr.ro<\/em><\/strong><\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">National Institute for Lasers, Plasma and Radiation Physics INFLPR Magurele, Romania<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-large-font-size\"><strong>Team:<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Teddy Craciunescu, Calin Vlad Atanasiu, Daniela Nendrean<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-large-font-size\"><strong>External Partners:<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Consorzio RFX (CNR, ENEA, INFN, Universita\u2019 di Padova, Acciaierie Venete SpA), Padova,<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Italia<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Universitaty of Rome Tor Vergata, Italiy<\/li>\n\n\n\n<li>CIEMAT, Madrid, Spain<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"> <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">WPAC contributes to the implementation of the European Roadmap, in which theory and simulation play a strong role, it is crucial to further bring together the accumulated knowledge and expertise in these fields under a highly focused Theory, Simulation, Verification and Validation (TSVV) programme. The development in these areas are key enablers that must be retained within the programme to advance our understanding and predictive capabilities. They will underpin the production of a high- quality suite of \u201cEUROfusion standard\u201d software (building on the research software) to model data from EUROfusion facilities and to reliably extrapolate to future devices.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"> <\/p>\n\n\n\n<h1 class=\"wp-block-heading has-accent-3-color has-text-color has-link-color has-x-large-font-size wp-elements-8a9ecd96524b479cec3fb4911aaa9157\">Project objectives:<\/h1>\n\n\n\n<p class=\"has-accent-3-color has-text-color has-link-color wp-elements-bdfab0b2df442c73837043148f2b4977 wp-block-paragraph\"><strong>Numerical Simulations of Disruption Current Spike generated by the Wall Touching Kink Mode<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Disruptions represent an unacceptable instability in the next step tokamaks. They can cause substantial damage to the in-vessel component of the machines, which are in contact with the plasma. The Wall Touching Kink Mode (WTKM) &#8211; a nonlinear MHD instability &#8211; leads to a dramatic quench of the plasma current within ms: very energetic electrons are created (runaway electrons) and finally a global loss of confinement happens, i.e. a major disruption. The WTKM are frequently excited during the Vertical Displacement Event (VDE) and cause big sideways forces on the vacuum vessel. Deep understanding of the disruption phenomenon became now the highest priority topic in tokamak plasma physics. Understanding that in disruptions the sharing of electric current between the plasma and the wall plays an important role in plasma dynamics, we have developed a wall model that covers both eddy currents, excited inductively, and source\/sink currents due to current sharing between the plasma and the wall [5 &#8211; 7]. The tokamak disruption simulations require a realistic model of the conducting structures around the plasma, referred here for simplicity as a \u201cwall\u201d. A proper representation of its 3D structure (ribs, limiters, penetrations, gaps) is absolutely essential. In our numerical codes for source- sink-eddy currents calculation [5] we have included rib-like wall elements and have determined the matching conditions at joint of a rib-like wall element with the toroidal wall surface. The variational principle for source-sink-eddy currents in a thin wall with a rib-like wall element has been deduced [8]. Although it is the best prototype for ITER, the JET tokamak has a distinct element, namely the iron core which can affect the stability of the plasma. As a consequence of the high non-linear dependence of the magneto-hydrodynamic solutions on the iron permeability \u00b5Fe in JET, we have taken into account the influence of ferromagnetic components in the equations of the surface currents developed in the vessel structures during WTKMs by reviewing the equations to be solved in order to simulate the influence of the ferromagnetic components in VDEs and equilibrium stability calculations [9]. Finally, via this project we intend to create the first numerical model implementing the physics of the WTKM as the driver of tokamak disruptions.<\/p>\n\n\n\n<p class=\"has-small-font-size wp-block-paragraph\"><strong>References<\/strong><strong><\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"has-small-font-size\">L.E. Zakharov, Phys. of Plasmas 15, (2008).<\/li>\n\n\n\n<li class=\"has-small-font-size\">P. Noll et al, Present Understanding of Electromagnetic Behavior during Disruptions in JET, Proceedings of the 19th Symposium on Fusion Technology, Lisbon, Portugal, 16\u201320 September 1996.<\/li>\n\n\n\n<li class=\"has-small-font-size\">L. E. Zakharov, H. Xiong, D. Hu, X. Li, C. V. Atanasiu, Theory and Simulation of Disruptions Workshop, July 17-19, PPPL, Princeton NJ (2013).<\/li>\n\n\n\n<li class=\"has-small-font-size\">E.P. Gorbunov E.P. and K.A. Pazumova K.A., At. Energy 15 363 (1963).<\/li>\n\n\n\n<li class=\"has-small-font-size\">L. E. Zakharov, C. V. Atanasiu, K. Lackner, M. Hoelzl, and E. Strumberger, J. Plasma Phys. 81, 515810610 (2015).<\/li>\n\n\n\n<li class=\"has-small-font-size\">C. V. Atanasiu, L. E. Zakharov, K. Lackner and M. Hoelzl, J. Phys. Conf. Series 1141 1212065 (2018).<\/li>\n\n\n\n<li class=\"has-small-font-size\">C.V. Atanasiu, L.E. Zakharov, K. Lackner, M. Hoelzl and E. Strumberger 2017, Simulation of the electromagnetic wall response to plasma wall-touching kink and vertical modes with application to ITER, 59th Annual Meeting of the APS Division of Plasma Physics, Milwaukee, WI, US, October 23-27, 2017 (oral).<\/li>\n\n\n\n<li class=\"has-small-font-size\">C.V. Atanasiu, L.E. Zakharov, M. Hoelzl, Tokamaks Vertical Displacement Events and disruptions simulations for realistic 3D non-symmetrical wall geometries, International Conference on Plasma Physics and Applications &#8211; CPPA2023, Iasi, Romania, 14 to 16 June (2023) (oral) (sent to Phys. Plasmas \u2013 not accepted yet).<\/li>\n\n\n\n<li class=\"has-small-font-size\">C.V. Atanasiu, L.E. Zakharov, M. Hoelzl, S.N. Gerasimov, J. Phys. Conf. Series 1730 012115 (2021).<\/li>\n\n\n\n<li class=\"has-small-font-size\">F.J. Artola, C. Atanasiu, M. Hoelzl, G.T.A. Huijsmans, K. Lackner, S. Mochalskyy, G. Oosterwegel, E. Strumberger,<\/li>\n\n\n\n<li class=\"has-small-font-size\">L. Zakharov, \u201cSecond intermediate report for ITER project IO\/16\/CT\/4300001383\u201d on the \u201cImplementation and validation of a model for halo-currents in the nonlinear MHD code JOREK and demonstration of 3-D VDEs simulations in ITER\u201d, Version 2, March 5th 2018.<\/li>\n\n\n\n<li class=\"has-small-font-size\">C.V. Atanasiu, L.E. Zakharov, X. Li, J. Phys. 1391 012123 (2019).<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"> <\/p>\n\n\n\n<p class=\"has-accent-3-color has-text-color has-link-color wp-elements-19a6d0f6c0b0264f19654250db781b70 wp-block-paragraph\"><strong>Potential leading edge effect in in plasma energy deposition to material surfaces during disruptions triggered by Vertical Displacement Events (VDE) in tokamak<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The understanding of plasma disruptions in tokamaks and predictions of their effects require realistic simulations of electric currents excited in 3D vessel structures during the Vertical Displacement Events (VDE) and by the plasma Wall Touching Kink Modes (WTKM) instabilities. These instabilities cause big sideways forces on the vacuum vessel which are difficult to confront in large tokamaks like ITER or DEMO. Understanding that in disruptions the sharing of electric current between the plasma and the wall plays an important role in plasma dynamics, we have developed a wall model that covers both eddy currents, excited inductively, and so source\/sink currents due to current sharing between the plasma and the wall [1-3]. Considering for MHD simulations the TMHD (Tokamak MHD) model [4] we have to consider adaptive grids which are aligned with the 3-D ergodic magnetic field lines, so- called Reference Magnetic Coordinates (RMC) [5]. Due to the fact that during fast VDE disruptions, the plasma acquires a contact with the plasma facing material surfaces (e.g., protective plates in ITER), the instability generates the edge Hiro currents [6] which from the free plasma surface enter the &#8220;wall&#8221; surface mostly through the contour of the wetting zone. This creates the scenario when the leading edge effect with concentrated power deposition at the edges of the plates and potential destruction of the edges. This effect could be considered by as an important cause of wall melting in JET and as a cause the formation of runaway electrons.<\/p>\n\n\n\n<p class=\"has-small-font-size wp-block-paragraph\"><strong>References<\/strong><strong><\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"has-small-font-size\">L. E. Zakharov, C. V. Atanasiu, K. Lackner, M. Hoelzl, and E. Strumberger, J. Plasma Phys. 81, 515810610 (2015).<\/li>\n\n\n\n<li class=\"has-small-font-size\">C. V. Atanasiu, L. E. Zakharov, K. Lackner and M. Hoelzl, J. Phys. Conf. Series 1141 1212065 (2018).<\/li>\n\n\n\n<li class=\"has-small-font-size\">F.J. Artola, C. Atanasiu, M. Hoelzl, G.T.A. Huijsmans, K. Lackner, S. Mochalskyy, G. Oosterwegel, E. Strumberger,<\/li>\n\n\n\n<li class=\"has-small-font-size\">L. Zakharov, \u201cSecond intermediate report for ITER project IO\/16\/CT\/4300001383\u201d on the \u201cImplementation and validation of a model for halo-currents in the nonlinear MHD code JOREK and demonstration of 3-D VDEs simulations in ITER\u201d, Version 2, March 5th 2018.<\/li>\n\n\n\n<li class=\"has-small-font-size\">L. E. Zakharov, X. Li, Phys. Plasma 22, 062511 (2015).<\/li>\n\n\n\n<li class=\"has-small-font-size\">L. E. Zakharov, S. A. Galkin, S. N. Gerasimov, and JET-EFDA contributors, Phys. Plasmas 19, 055703 (2012).<\/li>\n\n\n\n<li class=\"has-small-font-size\">L. E. Zakharov, H. Xiong, D. Hu, X. Li, C. V. Atanasiu, Theory and Simulation of Disruptions Workshop, July 17-19, PPPL, Princeton NJ (2013).<\/li>\n\n\n\n<li class=\"has-small-font-size\">C.V. Atanasiu, L.E. Zakharov, M. Hoelzl, S. Gerasimov, J. Phys. Conf. Series 1730 012115 (2021).<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"> <\/p>\n\n\n\n<p class=\"has-accent-3-color has-text-color has-link-color wp-elements-473fed32cb2260b1960997b5fa7c439e wp-block-paragraph\"><strong>Bayesian ensemble algorithms for the decomposition of times series generated by tokamak diagnostics<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Modelling of certain diagnostic signals as a combination of quasi-periodic elements of the time series, trends and change-points would be useful for the subsequent analysis of various phenomena like macroscopic charge-and-fire instabilities such as ELMs or sawteeth, slow drifts of the discharge properties and performances due to impurity accumulation or current diffusion. This project aims to use a Bayesian ensemble approach to model the decomposition of time series which quantifies the relative usefulness of individual possible decomposition models, leveraging all the models via Bayesian model averaging. This approach has in principle the advantage to alleviate model misspecification, address algorithmic uncertainty, and reduce over-fitting. A promising development is to further use the developed methodology to train advanced machine learning tools for online application.<\/p>\n\n\n\n<h1 class=\"wp-block-heading has-accent-3-color has-text-color has-link-color has-x-large-font-size wp-elements-47f84262db38fc2cd4c2ac762ca1ad4d\">Results:<\/h1>\n\n\n\n<p class=\"has-accent-3-color has-text-color has-link-color has-large-font-size wp-elements-8d0dafe788fc70ae97a2de80acd028a8 wp-block-paragraph\"><strong>2024-2025<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The WTKMs are frequently excited during the VDEs and lead to big sideways forces on the vacuum vessel which are difficult to confront in large tokamaks. As the key basis for our plasma disruption modelling, we have considered the understanding of how currents flow to the plasma facing surfaces during plasma disruptions. We realized that the galvanic plasma-wall contact is critical in disruptions, and that the reproduction of 3D structure of the wall is important. Thus, we have developed a wall model that covers both eddy currents, excited inductively, and source\/sink currents due to current sharing between the plasma and the wall. To obtain the space and time distribution of the surface currents, we have developed a weak formulation form (variational formulation) and have minimized the correspondent energy functionals in a Finite Element approach. We realized that the major player in plasma-wall interactions are the currents flowing between the plasma and the wall. As an example of currents sharing between plasma and the wall in VDE we have considered: (a) surface currents as the currents at the plasma boundary generated by free boundary MHD instabilities; (b) eddy currents in the wall, excited by perturbed magnetic field, which is screened by the plasma surface currents: (c) Hiro currents as the negative component of the surface currents shared between plasma and the wall (opposite to the plasma current \ud835\udc3c\ud835\udc5d\ud835\udc59); (d) Evans current as the positive component of the surface currents potentially shared between plasma and the wall (same direction as \ud835\udc3c\ud835\udc5d\ud835\udc59); (e) halo currents as the positive diffused currents to the tile surface from outside the last closed magnetic surface. In conclusion: We developed a Wall-Touching-Kink-Mode model for explanation of the negative voltage spike in tokamak disruptions. We mention that the financial support for this project was 1.0 PM and the research work presented here has been developed together with our colleague L.E. Zakharov from LiWFusion, Princeton, NJ 08543, USA, without financial support for him.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"946\" height=\"470\" src=\"https:\/\/wpte-ac-ro.tomography.inflpr.ro\/wp-content\/uploads\/2026\/05\/image.png\" alt=\"\" class=\"wp-image-9\" srcset=\"https:\/\/wpte-ac-ro.tomography.inflpr.ro\/wp-content\/uploads\/2026\/05\/image.png 946w, https:\/\/wpte-ac-ro.tomography.inflpr.ro\/wp-content\/uploads\/2026\/05\/image-300x149.png 300w, https:\/\/wpte-ac-ro.tomography.inflpr.ro\/wp-content\/uploads\/2026\/05\/image-768x382.png 768w\" sizes=\"auto, (max-width: 946px) 100vw, 946px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Starting from the fact that on JET disruptions were capable of melting the plasma facing beryllium tiles, and similar wall damage in ITER should be assessed, in this project we had to consider two important disruption effects in both mitigated and non-mitigated disruptions in JET and ITER: (a) excitation of vertical disruption during the current quench (i.e., abnormal plasma current ramp down) and (b) potential leading edge effect in power deposition to the in- vessel tiles during disruptions related to the wetting zone of plasma and plasma facing surfaces. For this we had to determine: &#8211; the geometry of the wetting zone as well as the power deposition to edges of the protective plates in ITER and &#8211; the limitations on current decay rate given the geometry of vessel structure and characteristics of feedback stabilization systems. For this task, due to the fact that a conventional MHD model cannot solve numerical problems related to extreme plasma anisotropy and negligible mass we had to use the new mathematical model, called Tokamak MHD (TMHD) formulated for disruptions simulation as a replacement of conventional MHD . We had to upgrade the existing 2D VDE code the wall geometries of JET and ITER in order to perform simulation of VDE and to develop a 3D extended version of the simulation code of VDE.<\/li>\n\n\n\n<li>The vast majority of signals generated by tokamak diagnostics are in the form of time series. Consequently dealing with time-indexed data is a major task, to be tackled daily by both experimentalists and analysts. Decomposing a time series in terms of seasonal components, trends, change-points and noise is therefore a crucial activity, per se and as a preliminary step to further investigations. In the present work, the Bayesian ensemble approach to model decomposition of time series, originally developed for remote sensing of the earth, is applied to various global measurements routinely available in tokamak devices. Among the competitive advantages of the methodology, particularly relevant are its holistic view of the data and the independence from the details of the statistical algorithms and models. The potential of the technique, implemented by the BEAST code, has been assessed with both synthetic signals and experimental data. The approach proves to be very reliable in modelling trends and determining the time locations of abrupt changes even of strongly oscillatory components, such as ELMs and sawteeth. Deployment to assess small drifts confirms the lack of stationarity in tokamak high performance discharges. The difficulties of modelling the details of the sawteeth and irregular ELMs indicate the need to improve the method to deal with seasonal components of complex harmonic content and\/or varying frequency. However, the available routines are already very effective in determining the times changes in the ELM regimes and could be refined for real time deployment.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"586\" height=\"357\" src=\"https:\/\/wpte-ac-ro.tomography.inflpr.ro\/wp-content\/uploads\/2026\/05\/image-2.png\" alt=\"\" class=\"wp-image-11\" srcset=\"https:\/\/wpte-ac-ro.tomography.inflpr.ro\/wp-content\/uploads\/2026\/05\/image-2.png 586w, https:\/\/wpte-ac-ro.tomography.inflpr.ro\/wp-content\/uploads\/2026\/05\/image-2-300x183.png 300w\" sizes=\"auto, (max-width: 586px) 100vw, 586px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"556\" height=\"354\" src=\"https:\/\/wpte-ac-ro.tomography.inflpr.ro\/wp-content\/uploads\/2026\/05\/image-3.png\" alt=\"\" class=\"wp-image-12\" srcset=\"https:\/\/wpte-ac-ro.tomography.inflpr.ro\/wp-content\/uploads\/2026\/05\/image-3.png 556w, https:\/\/wpte-ac-ro.tomography.inflpr.ro\/wp-content\/uploads\/2026\/05\/image-3-300x191.png 300w\" sizes=\"auto, (max-width: 556px) 100vw, 556px\" \/><\/figure>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><em>The seasonality component for JET discharge #94871, in which the oscillations of the ELMs are almost exactly periodic for several quite long time intervals. However the ELM frequency and behaviour vary quite abruptly depending on the phase of the pulse. The BEAST algorithm manages to identify the time location of these abrupt changes quite accurately. A different choice of the threshold would allow detecting also smaller variations in the ELM regimes at about 7s and 11.3 s.<\/em><em><\/em><em><br><\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-accent-3-color has-text-color has-link-color wp-elements-b4a3dafd71581d86595bd1bbb6c7f46d\">Publications:<\/h2>\n\n\n\n<p class=\"has-accent-3-color has-text-color has-link-color wp-elements-cf72fb3f3932e39ccd4ea6fb12b86d17 wp-block-paragraph\"><strong>Papers<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Gelfusa, M., Craciunescu, T., Rossi, R., Murari, A., On the potential and limitations of Bayesian ensemble algorithms for the decomposition of time series generated by tokamak diagnostics (2025) Fusion Engineering and Design, 220, art. no. 115318 DOI: 10.1016\/j.fusengdes.2025.115318<\/li>\n\n\n\n<li>Min Xu, Didier Mazon, Matteo Barbarino, Wolfgang Biel, R M Churchill, Rainer Fischer, Keisuke Fujii, Palak Jain, Andrea Murari, Simon D Pinches, Pablo Rodriguez-Fernandez, Joshua A Stillerman, Jesus Vega, Geert Verdoolaege, Masayuki Yokoyama, Paulo Abreu, Sajidah Akhter Bint Ahmed, Jerome Alhage, Feda ALMUHISEN, Michael George Bergmann, Diego Pereira Botelho, Leonardo Caputo, Stefano Carli, Rodrigo Castro, Teddy Craciunescu, Farah Deeba, Francisco Esquembre, Giil Kwon, Yu Gu, Joseph Hall, Jonathan Hollocombe, Xianli Huang, Axel Jardin, Rogerio Cabete de Jesus Jorge, Yang Li, Y Liu, Simon Mcintosh, Emmanuele Peluso, Riccardo Rossi, Mariano Ruiz, Jeffrey De Rycke, Mireille Schneider, Marco Sertoli, Aleix Puig Sitjes, Dirk Stieglitz, Yi Tan, Henri Weisen, Hao Wu, Ivan Wyss and Linge Zang, Summary of the 5th IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis (FDPVA), Nuclear Fusion, accepted DOI 10.1088\/1741-4326\/ae048d<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"> <\/p>\n\n\n\n<h2 class=\"wp-block-heading has-large-font-size\"><strong>Conferences<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Sergei N. Gerasimov, Leonid E. Zakharov, Calin V. Atanasiu, \u201cToroidal asymmetry in current spike in JET disruptions\u201d, International conference: \u201cContributions to Joint Runaway Electron Modelling (REM) and WPTE (Work Package Tokamak Exploitation) RT03 Analysis meeting 2-6 June 2025, EPFL Lausanne, Switzerland\u201d.<\/li>\n\n\n\n<li>R. Rossi M. Gelfusa, T. Craciunescu, J. Vega, A. Murari, Avoiding the Collapse of the Tokamak Configuration: an AI based Control Strategy for Reactor Grade Devices, International Conference on Diagnostics For Fusion Reactors: the Burning Plasma Era (ICFRD2025), 1\u20135 Sept 2025 Varenna, Villa Monastero<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"> <\/p>\n\n\n\n<p class=\"wp-block-paragraph\"> <\/p>\n\n\n\n<p class=\"wp-block-paragraph\"> <\/p>\n\n\n\n<p class=\"has-xx-large-font-size wp-block-paragraph\"><strong>Participarea Romaniei la EUROfusion WPAC si cercetari complementare<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"> <\/p>\n\n\n\n<h1 class=\"wp-block-heading has-large-font-size\"><strong>Director de Proiect<\/strong><\/h1>\n\n\n\n<p class=\"wp-block-paragraph\"> Teddy Craciunescu (INFLPR)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><em>email:<\/em><\/strong><strong><em> <\/em><\/strong><a href=\"mailto:teddy.craciunescu@inflpr.ro\"><strong><em>teddy.craciunescu@inflpr.ro<\/em><\/strong><\/a><strong><em><\/em><\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">National Institute for Lasers, Plasma and Radiation Physics INFLPR Magurele, Romania<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-medium-font-size\"><strong>Echipa de cercetare:<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Teddy Craciunescu, Calin Vlad Atanasiu, Daniela Nendrean<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-medium-font-size\"><strong>Parteneri externi:<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Consorzio RFX (CNR, ENEA, INFN, Universita\u2019 di Padova, Acciaierie Venete SpA), Padova, Italia<\/li>\n\n\n\n<li>Universitaty of Rome Tor Vergata, Italiy<\/li>\n\n\n\n<li>CIEMAT, Madrid, Spain<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">WPAC contribuie la implementarea Foii de parcurs europene, \u00een care teoria \u0219i simularea joac\u0103 un rol important, fiind crucial s\u0103 se reuneasc\u0103 \u00een continuare cuno\u0219tin\u021bele \u0219i expertiza acumulate \u00een aceste domenii \u00een cadrul unui program de Teorie, Simulare, Verificare \u0219i Validare (TSVV) extrem de concentrat. Dezvoltarea \u00een aceste domenii reprezint\u0103 factori cheie care trebuie men\u021binu\u021bi \u00een cadrul programului pentru a ne \u00eembun\u0103t\u0103\u021bi \u00een\u021belegerea \u0219i capacit\u0103\u021bile predictive. Acestea vor sta la baza producerii unei suite de software \u201eEUROfusionstandard\u201d de \u00eenalt\u0103 calitate (bazat\u0103 pe software-ul de cercetare) pentru a modela datele provenite de la instala\u021biile EUROfusion \u0219i pentru a le extrapola \u00een mod fiabil c\u0103tre dispozitivele viitoare.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Intelegand ca disrup\u021biile reprezint\u0103 o instabilitate inacceptabil\u0103 pentru urm\u0103toarele instala\u021bii tokamak, Modul Wall Touching Kink (WTKM) a fost considerat drept cauza apari\u021biei for\u021belor laterale \u00een evenimentele deplas\u0103rilor verticale (VDE) \u00een JET, explic\u00e2nd at\u00e2t amplitudinea for\u021bei, c\u00e2t \u0219i curen\u021bii electrici (numi\u021bi curen\u021bi Hiro) schimba\u021bi \u00eentre plasm\u0103 \u015fi perete. \u00cen concordan\u021b\u0103 cu asimetria m\u0103surat\u0103 a curentului din plasma JET, curen\u021bii Hiro asocia\u021bi cu WTKM (cu m=1\/n=1) au explicat direc\u021bia nea\u0219teptat\u0103 a curen\u021bilor m\u0103sura\u021bi \u00een peretele tokamak.&nbsp; \u00cen acest proiect, curen\u021bii Hiro vor fi calcula\u021bi pentru WTKM, m = 3, n = 1, pentru a explica v\u00e2rful curentului tokamak la disrup\u021biile care nu sunt de tipul VDE. &nbsp;In mod traditional, in fuziunea termonuclear\u0103 tehnicile utilizate pentru analiza datelor, formularea ipotezelor sau elaborarea de modele sufera de o dihotomie fundamentala: se bazeaza fie pe simulari numerice, fie pe metodologii pur bazate pe date. Rezultatele ambelor abordari au dezavantaje substantiale atunci cand se investigheaza sisteme complexe, tinand cont de existenta unei enorme puteri de calcul disponibile dar si de existenta unei enorme cantitati de date.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Instabilit\u0103\u021bile plasmei ce ating peretele tokamak (Wall Touching Kink Mode &#8211; WTKM) sunt frecvent excitate \u00een timpul Evenimentelor de Deplasare Vertical\u0103 ale plasmei (Vertical Displacement Events &#8211; VDEs) \u0219i duc la for\u021be laterale mari asupra camerei de reac\u021bie, care sunt greu de gestionat \u00een instala\u021biile tokamak mari. Drept baz\u0103 pentru modelarea perturba\u021biilor plasmei, am luat \u00een considerare \u00een\u021belegerea modului \u00een care curen\u021bii circul\u0103 spre suprafe\u021bele expuse plasmei \u00een timpul perturba\u021biilor plasmei. Am realizat c\u0103 contactul galvanic \u00eentre plasm\u0103 \u0219i perete este critic \u00een cazul perturb\u021biilor \u0219i c\u0103 reproducerea structurii 3D a peretelui este important\u0103. Astfel, am dezvoltat un model de perete care acoper\u0103 at\u00e2t curen\u021bii turbulen\u021bi, excita\u021bi inductiv, c\u00e2t \u0219i curen\u021bii surs\u0103\/absor\u021bie datorit\u0103 \u00eemp\u0103r\u021birii curentului \u00eentre plasma \u0219i perete. Pentru a ob\u021bine distribu\u021bia \u00een spa\u021biu \u0219i timp a curen\u021bilor de suprafa\u021b\u0103, am dezvoltat o formulare slab\u0103 (formulare varia\u021bional\u0103) \u0219i am minimizat func\u021bionalele de energie corespunz\u0103toare \u00eentr-o abordare cu Elemente Finite. Am realizat c\u0103 principalul factor \u00een interac\u021biunile plasmei cu peretele camerei tokamak sunt curen\u021bii care circul\u0103 \u00eentre plasm\u0103 \u0219i perete. Ca exemplu de distribuire a curen\u021bilor \u00eentre plasm\u0103 \u0219i perete \u00een VDE, am luat \u00een considerare: (a) curen\u021bii de suprafa\u021b\u0103 ca fiind curen\u021bii de la limita plasmei genera\u021bi de instabilit\u0103\u021bi MHD cu grani\u021b\u0103 liber\u0103; (b) curen\u021bii de Eddy (turbionari) \u00een perete, excita\u021bi de c\u00e2mpul magnetic perturbat, care sunt ecrana\u021bi de curen\u021bii de suprafa\u021b\u0103 ai plasmei; (c) curen\u021bii Hiro ca o component\u0103 negativ\u0103 a curen\u021bilor de suprafa\u021b\u0103 \u00eemp\u0103r\u021bi\u021bi \u00eentre plasm\u0103 \u0219i peretele camerei de reac\u021bie tokamak (opuse curentului plasmei I_pl); (d) curentul Evans ca o component\u0103 pozitiv\u0103 a curen\u021bilor de suprafa\u021b\u0103 poten\u021bial \u00eemp\u0103r\u021bi\u021bi \u00eentre plasm\u0103 \u0219i perete (\u00een aceea\u0219i direc\u021bie cu I_pl); (e) curen\u021bii halo ca curen\u021bi difuzi, pozitivi orienta\u021bi c\u0103tre suprafa\u021ba camerei de reac\u021bie din afara ultimei suprafe\u021be magnetice \u00eenchise. In concluzie: am dezvoltat un model de WTKM (Wall-Touching-Kink-Mode) pentru a explica prezen\u021ba v\u0203rfului de tensiune negativ\u0103 din timpul disrup\u021biilor tokamak.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"575\" height=\"278\" src=\"https:\/\/wpte-ac-ro.tomography.inflpr.ro\/wp-content\/uploads\/2026\/05\/image.jpeg\" alt=\"\" class=\"wp-image-7\" srcset=\"https:\/\/wpte-ac-ro.tomography.inflpr.ro\/wp-content\/uploads\/2026\/05\/image.jpeg 575w, https:\/\/wpte-ac-ro.tomography.inflpr.ro\/wp-content\/uploads\/2026\/05\/image-300x145.jpeg 300w\" sizes=\"auto, (max-width: 575px) 100vw, 575px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Pornind de la faptul c\u0103 \u00een tokamak-ul JET disruptiile au fost capabile s\u0103 topeasca placile de beriliu aflate in contact cu plasma (astfel de daune similare ale pere\u021bilor vor trebui a fi evaluate si in ITER) in acest proiect am luat in considerare dou\u0103 efecte importante ale disrup\u021biilor, atat pentru disruptiile atenuate, cat si pentru cele neatenuate din JET si ITER: (a) excitarea deplasarii verticale in timpul caderii curentului (de exemplu, scaderea anormal\u0103 a curentului din plasma) si (b) efectul potential al depunerii energetice pe placile din camera de reactie in timpul disruptiilor legate de zona de contact a suprafetelor orientate spre plasma. Au fost determinat: &#8211; geometria zonei de contact precum \u0219i depunerea energetica pe marginile placilor de protectie din ITER, &#8211; limitarile ratei de sc\u0103dere a curentului (cunosc\u00e2nd geometria structurii vasului si caracteristicile sistemelor de stabilizare prin feedback). Pentru simulari, am luat in considerare modelul TMHD (Tokamak MHD) cu grile adaptive aliniate cu liniile de c\u00e2mp magnetic ergodic 3D, si am considerat coordonatele magnetice de referinta (Reference Magnetic Coordinates &#8211; RMC).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Marea majoritate a semnalelor generate de diagnostica tokamak sunt sub forma de serii temporale. Prin urmare, gestionarea datelor indexate in timp este o sarcina majora, care trebuie abordata zilnic atat de catre experimentatori, cat si de c\u0103tre analisti. Descompunerea unei serii temporale in termeni de componente sezoniere, tendinte, puncte de schimbare si zgomot este, prin urmare, o activitate cruciala, in sine si ca un pas preliminar pentru investigatii ulterioare. In lucrarea de fata, abordarea bayesian\u0103 de ansamblu pentru descompunerea modelului seriilor temporale, dezvoltata ini\u021bial pentru teledetectie, este aplicata diverselor masuratori globale disponibile in mod obisnuit in dispozitivele tokamak. Printre avantajele competitive ale metodologiei, deosebit de relevante sunt viziunea sa holistica asupra datelor si independenta fata de detaliile algoritmilor si modelelor statistice. Potentialul tehnicii, implementata prin codul BEAST, a fost evaluat atat cu semnale sintetice, cat si cu date experimentale. Abordarea se dovedeste a fi foarte fiabila \u00een modelarea tendintelor si determinarea localizarii in timp ale schimbarilor bruste chiar si ale componentelor puternic oscilatorii, cum ar fi instabilitatile de tip ELM si sawtooth. Implementarea pentru evaluarea drift-urilor mici confirm\u0103 lipsa stationaritatii \u00een descarcarile de inalta performanta ale tokamak-urilor. Dificultatile de modelare a detaliilor ELM si sawtooth indic\u0103 necesitatea \u00eembunatatirii metodei pentru a trata componentele sezoniere cu continut armonic complex si\/sau frecventa variabila. Cu toate acestea, rutinele disponibile sunt deja foarte eficiente in determinarea schimbarilor in timp in regimurile ELM si ar putea fi rafinate pentru implementare \u00een timp real.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"586\" height=\"357\" src=\"https:\/\/wpte-ac-ro.tomography.inflpr.ro\/wp-content\/uploads\/2026\/05\/image-4.png\" alt=\"\" class=\"wp-image-13\" srcset=\"https:\/\/wpte-ac-ro.tomography.inflpr.ro\/wp-content\/uploads\/2026\/05\/image-4.png 586w, https:\/\/wpte-ac-ro.tomography.inflpr.ro\/wp-content\/uploads\/2026\/05\/image-4-300x183.png 300w\" sizes=\"auto, (max-width: 586px) 100vw, 586px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"556\" height=\"354\" src=\"https:\/\/wpte-ac-ro.tomography.inflpr.ro\/wp-content\/uploads\/2026\/05\/image-5.png\" alt=\"\" class=\"wp-image-14\" srcset=\"https:\/\/wpte-ac-ro.tomography.inflpr.ro\/wp-content\/uploads\/2026\/05\/image-5.png 556w, https:\/\/wpte-ac-ro.tomography.inflpr.ro\/wp-content\/uploads\/2026\/05\/image-5-300x191.png 300w\" sizes=\"auto, (max-width: 556px) 100vw, 556px\" \/><\/figure>\n\n\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><em>Descompunerea Bayesian a semnalului Be pentru descarcarea JET #94871, pentru caracterizarea instabilitatilor de tip ELM.<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Abordarea bayesian\u0103 pe acre am dezvoltat-o pentru descompunerea seriilor temporale permite determinarea precisa \u0219i robusta a componentelor, gradientilor, a schimbarilor bruste si a zgomotului din datele furnizate de sistemele de diagnostica a plasmei, ceea ce este important in sine si ca un pas preliminar pentru tipuri mai avansate de studii. Dezvoltarea viitoare a unei metodologii automate si general acceptate pentru a indeplini aceasta sarcina ar fi foarte benefica pentru intreaga comunitate. Aceasta abordare reprezinta o linie suplimentar\u0103 importanta de cercetare, pregatind dezvoltarea de instrumente utilizabile in feedback. In cazul descarcarilor relevante pentru sisteme tokamak indreptate spre producerea de energie, orice mica abatere de la punctul opera\u021bional ales ar trebui detectata cat mai curand posibil pentru a intreprinde actiunile de remediere necesare si a recupera performantele necesare ale plasmei.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">.&nbsp;<\/p>\n\n\n\n<p class=\"has-accent-3-color has-text-color has-link-color has-x-large-font-size wp-elements-29edb975a04d63d2f6df6311966d6093 wp-block-paragraph\"><strong>Publicatii<\/strong><\/p>\n\n\n\n<p class=\"has-accent-3-color has-text-color has-link-color has-large-font-size wp-elements-4ef98bc3e404a24688107257c08528b4 wp-block-paragraph\"><strong>Articole<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a>Gelfusa, M., Craciunescu, T., Rossi, R., Murari, A., On the potential and limitations of Bayesian ensemble algorithms for the decomposition of time series generated by tokamak diagnostics<br>(2025) Fusion Engineering and Design, 220, art. no. 115318 DOI: 10.1016\/j.fusengdes.2025.115318<\/a><\/li>\n\n\n\n<li>Min Xu, Didier Mazon, Matteo Barbarino, Wolfgang Biel, R M Churchill, Rainer Fischer, Keisuke Fujii, Palak Jain, Andrea Murari, Simon D Pinches, Pablo Rodriguez-Fernandez, Joshua A Stillerman, Jesus Vega, Geert Verdoolaege, Masayuki Yokoyama, Paulo Abreu, Sajidah Akhter Bint Ahmed, Jerome Alhage, Feda ALMUHISEN, Michael George Bergmann, Diego Pereira Botelho, Leonardo Caputo, Stefano Carli, Rodrigo Castro, Teddy Craciunescu, Farah Deeba, Francisco Esquembre, Giil Kwon, Yu Gu, Joseph Hall, Jonathan Hollocombe, Xianli Huang, Axel Jardin, Rogerio Cabete de Jesus Jorge, Yang Li, Y Liu, Simon Mcintosh, Emmanuele Peluso, Riccardo Rossi, Mariano Ruiz, Jeffrey De Rycke, Mireille Schneider, Marco Sertoli, Aleix Puig Sitjes, Dirk Stieglitz, Yi Tan, Henri Weisen, Hao Wu, Ivan Wyss and Linge Zang, Summary of the 5th IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis (FDPVA), Nuclear Fusion, accepted DOI\u00a010.1088\/1741-4326\/ae048d<\/li>\n<\/ul>\n\n\n\n<p class=\"has-accent-3-color has-text-color has-link-color has-large-font-size wp-elements-dd472d2da7da02ad95f7cdeb0c8921db wp-block-paragraph\"><strong>Participari la conferinte internationale<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">R. Rossi M. Gelfusa, T. Craciunescu, J. Vega, A. Murari, Avoiding the Collapse of the Tokamak Configuration: an AI based Control Strategy for Reactor Grade Devices, International Conference on Diagnostics For Fusion Reactors: the Burning Plasma Era (ICFRD2025), 1\u20135 Sept 2025 Varenna, Villa Monastero (oral)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Sergei N. Gerasimov, Leonid E. Zakharov, Calin V. Atanasiu, \u201cToroidal asymmetry in current spike in JET disruptions\u201d, International conference: \u201cContributions to Joint Runaway Electron Modelling (REM) and WPTE (Work Package Tokamak Exploitation) RT03 Analysis meeting 2-6 June 2025, EPFL Lausanne, Switzerland\u201d.\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Project director: Teddy Craciunescu (INFLPR) email:teddy.craciunescu@inflpr.ro National Institute for Lasers, Plasma and Radiation Physics INFLPR Magurele, Romania Team: Teddy Craciunescu, Calin Vlad Atanasiu, Daniela Nendrean External Partners: Italia WPAC contributes to the implementation of the European Roadmap, in which theory and simulation play a strong role, it is crucial to further bring together the accumulated [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/wpte-ac-ro.tomography.inflpr.ro\/index.php?rest_route=\/wp\/v2\/posts\/1","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wpte-ac-ro.tomography.inflpr.ro\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wpte-ac-ro.tomography.inflpr.ro\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wpte-ac-ro.tomography.inflpr.ro\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/wpte-ac-ro.tomography.inflpr.ro\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1"}],"version-history":[{"count":1,"href":"https:\/\/wpte-ac-ro.tomography.inflpr.ro\/index.php?rest_route=\/wp\/v2\/posts\/1\/revisions"}],"predecessor-version":[{"id":15,"href":"https:\/\/wpte-ac-ro.tomography.inflpr.ro\/index.php?rest_route=\/wp\/v2\/posts\/1\/revisions\/15"}],"wp:attachment":[{"href":"https:\/\/wpte-ac-ro.tomography.inflpr.ro\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wpte-ac-ro.tomography.inflpr.ro\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wpte-ac-ro.tomography.inflpr.ro\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}