Zobrazeno 1 - 10
of 1 071
pro vyhledávání: '"Sweeney R"'
Autor:
Battey, A. F., Hansen, C., Garnier, D., Weisberg, D., Paz-Soldan, C., Sweeney, R., Tinguely, R. A., Creely, A. J.
A new three-dimensional electromagnetic modeling tool ThinCurr has been developed using the existing PSI-Tet finite-element code in support of conducting structure design work for both the SPARC and DIII-D tokamaks. Within this framework a 3D conduct
Externí odkaz:
http://arxiv.org/abs/2309.15336
Autor:
Tinguely, R. A., Pusztai, I., Izzo, V. A., S'"arkimäki, K., Fülöp, T., Garnier, D. T., Granetz, R. S., Hoppe, M., Paz-Soldan, C., Sundström, A., Sweeney, R.
In [V.A. Izzo et al 2022 Nucl. Fusion 62 096029], state-of-the-art modeling of thermal and current quench (CQ) MHD coupled with a self-consistent evolution of runaway electron (RE) generation and transport showed that a non-axisymmetric (n = 1) in-ve
Externí odkaz:
http://arxiv.org/abs/2301.01435
Autor:
Izzo, V. A., Pusztai, I., Särkimäki, K., Sundström, A., Garnier, D., Weisberg, D., Tinguely, R. A., Paz-Soldan, C., Granetz, R. S., Sweeney, R.
The operation of a 3D coil--passively driven by the current quench loop voltage--for the deconfinement of runaway electrons is modeled for disruption scenarios in the SPARC and DIII-D tokamaks. Nonlinear MHD modeling is carried out with the NIMROD co
Externí odkaz:
http://arxiv.org/abs/2207.12450
Autor:
Tinguely, RA, Izzo, VA, Garnier, DT, Sundström, A, Särkimäki, K, Embréus, O, Fülöp, T, Granetz, RS, Hoppe, M, Pusztai, I, Sweeney, R
The potential formation of multi-mega-ampere beams of relativistic "runaway" electrons (REs) during sudden terminations of tokamak plasmas poses a significant challenge to the tokamak's development as a fusion energy source. Here, we use state-of-the
Externí odkaz:
http://arxiv.org/abs/2110.10598
Autor:
Zhu, J., Rea, C., Granetz, R. S., Marmar, E. S., Montes, K. J., Sweeney, R., Tinguely, R. A., Chen, D. L., Shen, B., Xiao, B. J., Humphreys, D., Barr, J., Meneghini, O.
Next generation high performance (HP) tokamaks risk damage from unmitigated disruptions at high current and power. Achieving reliable disruption prediction for a device's HP operation based on its low performance (LP) data is key to success. In this
Externí odkaz:
http://arxiv.org/abs/2109.08956
In this paper, we present a new deep learning disruption prediction algorithm based on important findings from explorative data analysis which effectively allows knowledge transfer from existing devices to new ones, thereby predicting disruptions usi
Externí odkaz:
http://arxiv.org/abs/2007.01401
Akademický článek
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Autor:
SWEENEY, R. EMMET
Publikováno v:
Film Comment, 2019 Nov 01. 55(6), 48-52.
Externí odkaz:
https://www.jstor.org/stable/45221144
One of the most pressing challenges facing the fusion community is adequately mitigating or, even better, avoiding disruptions of tokamak plasmas. However, before this can be done, disruptions must first be predicted with sufficient warning time to a
Externí odkaz:
http://arxiv.org/abs/1907.04291
Akademický článek
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