Search Results - van de Plassche, K. L.

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  1. 1
    Fast modeling of turbulent transport in fusion plasmas using neural networks

    Fast modeling of turbulent transport in fusion plasmas using neural networks by van de Plassche, K. L., Citrin, J., Bourdelle, C., Camenen, Y., Casson, F. J., Dagnelie, V. I., Felici, F., Ho, A., Van Mulders, S.

    Published in Physics of plasmas
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  2. 2
    Neural network surrogate of QuaLiKiz using JET experimental data to populate training space

    Neural network surrogate of QuaLiKiz using JET experimental data to populate training space by Ho, A., Citrin, J., Bourdelle, C., Camenen, Y., Casson, F. J., van de Plassche, K. L., Weisen, H.

    Published in Physics of plasmas
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  3. 3
    Fast transport simulations with higher-fidelity surrogate models for ITER

    Fast transport simulations with higher-fidelity surrogate models for ITER by Citrin, J., Trochim, P., Goerler, T., Pfau, D., van de Plassche, K. L., Jenko, F.

    Published in Physics of plasmas
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  4. 4
    Quasilinear gyrokinetic theory: a derivation of QuaLiKiz

    Quasilinear gyrokinetic theory: a derivation of QuaLiKiz by Stephens, C.D., Garbet, X., Citrin, J., Bourdelle, C., van de Plassche, K.L., Jenko, F.

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  5. 5
    Rapid optimization of stationary tokamak plasmas in RAPTOR: demonstration for the ITER hybrid scenario with neural network surrogate transport model QLKNN

    Rapid optimization of stationary tokamak plasmas in RAPTOR: demonstration for the ITER hybrid scenario with neural network surrogate transport model QLKNN by Van Mulders, S., Felici, F., Sauter, O., Citrin, J., Ho, A., Marin, M., van de Plassche, K.L.

    Published in Nuclear fusion
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  6. 6
    Fast transport simulations with higher-fidelity surrogate models for ITER

    Fast transport simulations with higher-fidelity surrogate models for ITER by Citrin, J, Trochim, P, Goerler, T, Pfau, D, K L van de Plassche, Jenko, F

    Published in arXiv.org
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  7. 7
    3D Stacked Transmitter and Receiver Chips for High Bandwidth Density Optical Interconnects

    3D Stacked Transmitter and Receiver Chips for High Bandwidth Density Optical Interconnects by Duan, P, Raz, O, Smalbrugge, B.E, van de Plassche, K.L, Dorrestein, S, Duis, J, Dorren, H.J.S

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  8. 8
    Tractable flux-driven temperature, density, and rotation profile evolution with the quasilinear gyrokinetic transport model QuaLiKiz

    Tractable flux-driven temperature, density, and rotation profile evolution with the quasilinear gyrokinetic transport model QuaLiKiz by Citrin, J, Bourdelle, C, Casson, F J, Angioni, C, Bonanomi, N, Camenen, Y, Garbet, X, Garzotti, L, Görler, T, Gürcan, O, Koechl, F, Imbeaux, F, Linder, O, Plassche, K van de, Strand, P, Szepesi, G

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  9. 9
    A 21-mW 8-b 125-MSample/s ADC in 0.09-mm(2) 0.13-mum CMOS

    A 21-mW 8-b 125-MSample/s ADC in 0.09-mm(2) 0.13-mum CMOS by Mulder, J, Ward, C M, Lin, Chi-Hung, Kruse, D, Westra, J R, Lugthart, M, Arslan, E, van de Plassche, R J, Bult, K, van der Goes, F M L

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  10. 10
    Tractable flux-driven temperature, density, and rotation profile evolution with the quasilinear gyrokinetic transport model QuaLiKiz

    Tractable flux-driven temperature, density, and rotation profile evolution with the quasilinear gyrokinetic transport model QuaLiKiz by Citrin, J, Bourdelle, C, Casson, F J, Angioni, C, Bonanomi, N, Camenen, Y, Garbet, X, Garzotti, L, Görler, T, Gürcan, O, Koechl, F, Imbeaux, F, Linder, O, van de Plassche, K, Strand, P, Szepesi, G, Contributors, JET

    Published in arXiv.org
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