The Onion architecture, which multiplies backbone features with diagnostic response-matrix encodings and adds a line-integral loss, modestly reduces reconstruction error on synthetic and experimental fusion data.
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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices
The Onion architecture, which multiplies backbone features with diagnostic response-matrix encodings and adds a line-integral loss, modestly reduces reconstruction error on synthetic and experimental fusion data.