DIFFER

A. Ho

First name
A.
Last name
Ho
ORCID
0000-0001-5107-3531
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
Marin, M. ., Citrin, J. ., Garzotti, L. ., Valovic, M. ., Bourdelle, C. ., Camenen, Y. ., … Contributors, J. . (2021). Multiple-isotope pellet cycles captured by turbulent transport modelling in the JET tokamak. Nuclear Fusion, 61(3), 036042. https://doi.org/10.1088/1741-4326/abda00
Ho, A. . (2021). Development of neural networks towards predict-first plasma modelling (Eindhoven University of Technology). Eindhoven University of Technology, Eindhoven, Netherlands. Retrieved from https://research.tue.nl/en/publications/development-of-neural-networks-towards-predict-first-plasma-model (Original work published)
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
Marin, M. ., Citrin, J. ., Bourdelle, C. ., Camenen, Y. ., Casson, F. J., Ho, A. ., … Contributors, J. . (2020). First-principles-based multiple-isotope particle transport modelling at JET. Nuclear Fusion, 60(4), 046007. https://doi.org/10.1088/1741-4326/ab60d1
van de Plassche, K. L., Citrin, J. ., Bourdelle, C. ., Camenen, Y. ., Casson, F. J., Dagnelie, V. I., … Van Mulders, S. . (2020). Fast modelling of turbulent transport in fusion plasmas using neural networks. Physics of Plasmas, 27(2), 022310. https://doi.org/10.1063/1.5134126
Ho, A. ., Citrin, J. ., Auriemma, F. ., Bourdelle, C. ., Casson, F. J., Kim, H. T., … Contributors, J. . (2019). Application of Gaussian process regression to plasma turbulent transport model validation via integrated modelling. Nuclear Fusion, 59(5), 056007. https://doi.org/10.1088/1741-4326/ab065a
Joffrin, E. ., Abduallev, S. ., Abhangi, M. ., Abreu, P. ., Afanasev, V. ., Citrin, J. ., … al., et . (2019). Overview of the JET preparation for deuterium–tritium operation with the ITER like-wall. Nuclear Fusion, 59(11), 112021. https://doi.org/10.1088/1741-4326/ab2276
Linder, O. ., Citrin, J. ., Hogeweij, G. M. D., Angioni, C. ., Bourdelle, C. ., Casson, F. J., … Team, A. U. (2019). Flux-driven integrated modelling of main ion pressure and trace tungsten transport in ASDEX Upgrade. Nuclear Fusion, 59(1), 016003. https://doi.org/10.1088/1741-4326/aae875