Parsimonious statistical techniques for the detection of drifts toward dangerous operational conditions in tokamaks
T Craciunescu, A Murari - Plasma Physics and …, 2024 - submit.iopscience.iop.org
The approaching initial operation of major new tokomaks is rendering more pressing the
need for effective disruption prediction techniques. The required tools should be not only …
need for effective disruption prediction techniques. The required tools should be not only …
[HTML][HTML] On the accuracy of a fast time resolution inversion method for the detection of different radiation patterns in fusion reactors
Accurate measurements of the emitted radiation are crucial for controlling a fusion reactor. In
addition to affecting the global power balances, high levels of local radiation emission can …
addition to affecting the global power balances, high levels of local radiation emission can …
High-Fidelity Data-Driven Dynamics Model for Reinforcement Learning-based Magnetic Control in HL-3 Tokamak
N Wu, Z Yang, R Li, N Wei, Y Chen, Q Dong… - arXiv preprint arXiv …, 2024 - arxiv.org
The drive to control tokamaks, a prominent technology in nuclear fusion, is essential due to
its potential to provide a virtually unlimited source of clean energy. Reinforcement learning …
its potential to provide a virtually unlimited source of clean energy. Reinforcement learning …
[PDF][PDF] Development and preliminary calibration of an off-normal warning system for SPARC
A Saperstein, R Sweeney, D Boyer… - Bulletin of the …, 2024 - conferences.iaea.org
• This requires the ONW system to be ready provided a limited amount of data• This will be a
stress test of cross-machine transferability for both physics and data-driven models• This is …
stress test of cross-machine transferability for both physics and data-driven models• This is …