K.L. van de Plassche

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. ., … Contributors, J. . (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)