Physics-guided U-Net removes non-stationary artifacts from X-ray images, raising mean SSIM from 0.345 to 0.906 and 0.0679 to 0.945 in synthetic tests while preserving filament profiles better than Fourier filtering or DFFN.
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Time-resolved resonant X-ray absorption and emission spectroscopy diagnoses ultrafast heating and ionization dynamics in laser-solid interactions, with multi-scale simulations constraining plasma parameters via detailed laser and pre-plasma accounting.
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Physics-Guided Deep Learning For High Resolution X-ray Imaging
Physics-guided U-Net removes non-stationary artifacts from X-ray images, raising mean SSIM from 0.345 to 0.906 and 0.0679 to 0.945 in synthetic tests while preserving filament profiles better than Fourier filtering or DFFN.
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Probing ultrafast heating and ionization dynamics in solid density plasmas with time-resolved resonant X-ray absorption and emission
Time-resolved resonant X-ray absorption and emission spectroscopy diagnoses ultrafast heating and ionization dynamics in laser-solid interactions, with multi-scale simulations constraining plasma parameters via detailed laser and pre-plasma accounting.