Physics-informed unsupervised learning for sparse-view tomography imaging in plasma diagnostics
In high-energy-density physics, plasma density distribution dictates laser coupling efficiency and drive symmetry. However, Real-time 3D diagnostics of plasmas remain challenging, primarily constrained by their large geometries and ultrafast dynamic evolution. Here, we propose a physics-informed deep learning method fo...