| Issue |
EPJ Web Conf.
Volume 346, 2026
25th Topical Conference on Radio-Frequency Power in Plasmas (RFPPC2025)
|
|
|---|---|---|
| Article Number | 01019 | |
| Number of page(s) | 8 | |
| Section | Theory and Modeling of Radio-Frequency Waves in Plasmas | |
| DOI | https://doi.org/10.1051/epjconf/202634601019 | |
| Published online | 07 January 2026 | |
https://doi.org/10.1051/epjconf/202634601019
Integral dielectric kernel implementation to model RF heating in toroidal plasmas
1 Laboratory for Plasma Physics, Royal Military Academy, Brussels, Belgium
2 Dept. of Electrical Engineering and Computer Science, University of Liège, Belgium
3 Max-Planck-Institut für Plasmaphysik, 17491 3 a Greifswald and 85748 3 b Garching Germany
* Corresponding author: bernard.reman@mil.be
Published online: 7 January 2026
As discussed in Ref. [1], recent theoretical and numerical treatments [2, 3] have sought to express the plasma radiofrequency (RF) response as a nonlocal integral operator formulated in configuration space. Analytical expressions of the integral kernels are available for Maxwellian particle species. This approach enables (i) direct use of the finite element method (FEM) to model wave propagation and absorption in hot inhomogeneous fusion plasmas, (ii) local mesh-refinement, (iii) provides RF field representations suited to address tokamak geometry, and (iv) allows straightforward connection between plasma and antenna models. The present contribution focuses on the concrete application of this method, in an incremental way, developing codes and exploiting finite element codes/libraries.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.