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Magnetic field reconstruction from proton radiography via physics-guided out-of-distribution filtering

Chun-Sung Jao, Chiung-Yin Chang, Kun-Han Lee, Hsiao-Hsuan Lin et al. • APL Machine Learning (2026)

Reconstructing multidimensional vector fields from path-integrated projection data is a fundamental challenge in high-energy-density physics, particularly when experimental sources exhibit spectral broadening and shot-to-shot jitter. We pre...

DOAJ Open Access (DOAJ) DOI: 10.1063/5.0331075

A Space-Time Partial Differential Equation Based Physics-Guided Neural Network for Sea Surface Temperature Prediction

Taikang Yuan, Junxing Zhu, Wuxin Wang, Jingze Lu et al. • Remote Sensing (2023)

Sea surface temperature (SST) prediction has attracted increasing attention, due to its crucial role in understanding the Earth’s climate and ocean system. Existing SST prediction methods are typically based on either physics-based numerica...

DOAJ Open Access (DOAJ) DOI: 10.3390/rs15143498