DIFFER

K.L. van de Plassche

First name
K.L.
Last name
van de Plassche
ORCID
0000-0003-0728-4635
Stephens, C., Citrin, J., van de Plassche, K., Bourdelle, C., Tala, T., Salmi, A., & Jenko, F. (2024). Quasilinear modelling of collisional trapped electron modes. Journal of Plasma Physics, 90(6), 905900618. https://doi.org/10.1017/S0022377824000837 (Original work published 2024)
Citrin, J., Trochim, P., Hamed, M., Gorler, T., Pfau, D., van de Plassche, K., & Jenko, F. (2023). Fast transport simulations with higher-fidelity surrogate models for ITER. Physics of Plasmas, 30(6), 062501. https://doi.org/10.1063/5.0136752
Kremers, B. J., Citrin, J., Ho, A., & van de Plassche, K. (2023). Two-step clustering for data reduction combining DBSCAN and k-means clustering. Contributions to Plasma Physics, 63(5-6), 202200177. https://doi.org/10.1002/ctpp.202200177
Mailloux, J., Abid, N., Abraham, K., Abreu, P., Adabonyan, O., Citrin, J., … Zychor, I. (2022). Overview of JET results for optimising ITER operation. Nuclear Fusion, 62(4), 042026. https://doi.org/10.1088/1741-4326/ac47b4
Ho, A., Citrin, J., Bourdelle, C., Camenen, Y., Casson, F., van de Plassche, K., … JET Contributors,. (2021). Neural network surrogate of QuaLiKiz using JET experimental data to populate training space. Physics of Plasmas, 28(3), 032305. https://doi.org/10.1063/5.0038290
Van Mulders, S., Felici, F., Sauter, O., Citrin, J., Ho, A., Marin, M., & van de Plassche, K. (2021). Rapid optimization of stationary tokamak plasmas in RAPTOR: demonstration for the ITER hybrid scenario with neural network surrogate transport model QLKNN. Nuclear Fusion, 61(8), 086019. https://doi.org/10.1088/1741-4326/ac0d12
Stephens, C., Garbet, X., Citrin, J., Bourdelle, C., van de Plassche, K., & Jenko, F. (2021). Quasilinear gyrokinetic theory: a derivation of QuaLiKiz. Journal of Plasma Physics, 87(4), 905870409. https://doi.org/10.1017/S0022377821000763 (Original work published 2021)