Filling in the Gaps: AI for Super-Resolution and Diagnostic Recovery
The Diag2Diag AI model produces synthetic super-resolution data to build a deeper understanding of fusion devices.
The Diag2Diag AI model produces synthetic super-resolution data to build a deeper understanding of fusion devices.
Scientists found a potential way to suppress large damaging edge-localized modes, providing an approach to protect future devices.
The Uncertainty Toolbox, a popular open-source library for uncertainty quantification and calibration, is a valuable tool for fusion and other research.