Physics Informed Neural Networks towards the real-time calculation of heat 
fluxes at W7-X

Aymerich, E.; Pisano, F.; Cannas, B.; Sias, G.; Fanni, A.; Gao, Y.; Böckenhoff, D.; Jakubowski, M.; W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society

doi:10.1016/j.nme.2023.101401

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Physics Informed Neural Networks towards the real-time calculation of heat fluxes at W7-X

MPS-Authors

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Gao, Y.
Stellarator Heating and Optimisation (E3), Max Planck Institute for Plasma Physics, Max Planck Society;

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Böckenhoff, D.
Stellarator Heating and Optimisation (E3), Max Planck Institute for Plasma Physics, Max Planck Society;

/persons/resource/persons109498

Jakubowski, M.
Stellarator Heating and Optimisation (E3), Max Planck Institute for Plasma Physics, Max Planck Society;

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https://doi.org/10.1016/j.nme.2023.101401
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Aymerich, E., Pisano, F., Cannas, B., Sias, G., Fanni, A., Gao, Y., et al. (2023). Physics Informed Neural Networks towards the real-time calculation of heat fluxes at W7-X. Nuclear Materials and Energy, 34: 101401. doi:10.1016/j.nme.2023.101401.

Cite as: https://hdl.handle.net/21.11116/0000-000C-C68A-9

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