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

E. Aymerich, F. Pisano, B. Cannas, G. Sias, A. Fanni, Y. Gao, D. Böckenhoff,M. Jakubowski

Nuclear Materials and Energy（2023）

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摘要

•Monitoring the heat flux in real-time is pivotal for steady-state fusion operation.•Existing 2D codes for heat flux estimation, such as THEODOR, are only employed offline.•A Physics-Informed Neural Network (PINN) can solve the heat equation.•The PINN is fully differentiable and can be natively run on a GPU.•The PINN is compared with THEODOR.

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关键词

heat fluxes,physics,networks,real-time

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