DIFFER

A. Ho

First name
A.
Last name
Ho
ORCID
0000-0001-5107-3531
Zanisi, L., Ho, A., Barr, J., Madula, T., Citrin, J., Pamela, S., et al. (2024). Efficient training sets for surrogate models of tokamak turbulence with Active Deep Ensembles. Nuclear Fusion, 64(3), 036022. https://doi.org/10.1088/1741-4326/ad240d
View
Fransson, E., Gillgren, A., Ho, A., Borsander, J., Lindberg, O., Rieck, W., et al. (2023). A fast neural network surrogate model for the eigenvalues of QuaLiKiz. Physics Of Plasmas, 30(12), 123904. https://doi.org/10.1063/5.0174643
View
Solano, E. R., Birkenmeier, G., Silva, C., Delabie, E., Hillesheim, J. C., Baciero, A., et al. (2023). L-H transition studies in tritium and deuterium–tritium campaigns at JET with Be wall and W divertor. Nuclear Fusion, 63(11), 112011. https://doi.org/10.1088/1741-4326/acee12
View
Garcia, J., Casson, F. J., Frassinetti, L., Gallart, D., Garzotti, L., Kim, H. T., et al. (2023). Modelling performed for predictions of fusion power in JET DTE2: overview and lessons learnt. Nuclear Fusion, 63(11), 112003. https://doi.org/10.1088/1741-4326/acedc0
View
Kim, H. T., Auriemma, F., Ferreira, J., Gabriellini, S., Ho, A., Huynh, P., et al. (2023). Validation of D-T fusion power prediction capability against 2021 JET D-T experiments. Nuclear Fusion, 63(11), 112004. https://doi.org/10.1088/1741-4326/ace26d
View
Hobirk, J., Challis, C. D., Kappatou, A., Lerche, E., Keeling, D., King, D., et al. (2023). The JET hybrid scenario in Deuterium, Tritium and Deuterium-Tritium. Nuclear Fusion, 63(11), 112001. https://doi.org/10.1088/1741-4326/acde8d
View
Bosman, T. O. S. J., Kochl, F., Ho, A., de Baar, M. R., Krishnamoorthy, D., & van Berkel, M. (2023). Integrated model control simulations of the electron density profile and the implications of using multiple hybrid pellet injectors for control. Nuclear Fusion, 63(12), 126047. https://doi.org/10.1088/1741-4326/ad0251
View
Kremers, B. J. J., Citrin, J., Ho, A., & van de Plassche, K. L. (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
View
Marin, M., Citrin, J., Giroud, C., Bourdelle, C., Camenen, Y., Garzotti, L., et al. (2023). Integrated modelling of Neon impact on JET H-mode core plasmas. Nuclear Fusion, 63(1), 016019. https://doi.org/10.1088/1741-4326/aca469
View
Ho, A., Citrin, J., Challis, C. D., Bourdelle, C., Casson, F. J., Garcia, J., et al. (2023). Predictive JET current ramp-up modelling using QuaLiKiz-neural-network. Nuclear Fusion, 63(6), 066014. https://doi.org/10.1088/1741-4326/acc083
View