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AI for real-time fusion plasma behavior prediction and manipulation
Discovering hidden physics using multimodal super-resolution (Diag2Diag) A non-linear complex system governed by multi-spatial and multi-temporal physics scales cannot be fully understood with a single diagnostic, because each diagnostic provides only a partial view and much information is lost while extracting physical quantities from its raw measurements. Also, combining multiple diagnostics results in multiple imperfect […]
Our multimodal approach generates super-resolution data encompassing multiple physics phenomena, enabling the capture of detailed structural evolution and responses to perturbations previously unobservable. However, the low spatial and temporal resolution of measurements severely limits the analysis of these magnetic islands due to their small size, rapid dynamics, and complex interactions within the plasma. Common methods including Langmuir probe (LP) divertor control or bolometry power integration contend with issues involving signal saturation or costly lower resolution resolves.
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