J. Citrin

Hobirk, J. ., Challis, C. ., Kappatou, A. ., Lerche, E. ., Keeling, D. ., King, D. ., … Contributors, J. . (2023). The JET hybrid scenario in Deuterium, Tritium and Deuterium-Tritium. Nuclear Fusion, 63(11), 112001. https://doi.org/10.1088/1741-4326/acde8d

Angioni, C. ., Citrin, J. ., Loarte, A. ., Polevoi, A. ., Kim, S. ., Fable, E. ., & Tardini, G. . (2023). Determining the access to H-mode in the ITER pre-fusion and fusion power operation phases at low plasma current with full-radius TGLF-SAT2 simulations of L-mode plasmas. Nuclear Fusion, 63(12), 126035. https://doi.org/10.1088/1741-4326/acfdb9

Di Siena, A. ., Hayward-Schneider, T. ., Mantica, P. ., Citrin, J. ., Vannini, F. ., Bottino, A. ., … Jenko, F. . (2023). How accurate are flux-tube (local) gyrokinetic codes in modeling energetic particle effects on core turbulence?. Nuclear Fusion, 63(10), 106012. https://doi.org/10.1088/1741-4326/acf1b0

Anirudh, R. ., Archibald, R. ., Asif, M. ., Becker, M. ., Benkadda, S. ., Bremer, P. ., … al., et . (2023). 2022 Review of Data-Driven Plasma Science. IEEE Transactions on Plasma Science, 51(7), 1750-1838. https://doi.org/10.1109/TPS.2023.3268170

Snoep, G. ., Koenders, J. T., Bourdelle, C. ., Citrin, J. ., & Contributors, J. . (2023). Improved flux-surface parameterization through constrained nonlinear optimization. Physics of Plasmas, 30(6), 063906. https://doi.org/10.1063/5.0145001

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

Gabriellini, S. ., Garzotti, L. ., Zotta, V. ., Bourdelle, C. ., Casson, F. ., Citrin, J. ., … Contributors, J. . (2023). Neon seeding effects on two high-performance baseline plasmas on the Joint European Torus. Nuclear Fusion, 63(8), 086025. https://doi.org/10.1088/1741-4326/ace2d7

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

Gillot, C. ., Dif-Pradalier, G. ., Sarazin, Y. ., Bourdelle, C. ., Navarro, B. ., Camenen, Y. ., … Widmer, F. . (2023). The problem of capturing marginality in model reductions of turbulence. Plasma Physics and Controlled Fusion, 65(5), 055012. https://doi.org/10.1088/1361-6587/acc276

Hamed, M. ., Pueschel, M. ., Citrin, J. ., Muraglia, M. ., Garbet, X. ., & Camenen, Y. . (2023). On the impact of electric field fluctuations on microtearing turbulence. Physics of Plasmas, 30(4), 042303. https://doi.org/10.1063/5.0104879