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Physics-informed neural networks for diffraction tomography
Our physics-informed neural networks can be generalized for any forward and inverse scattering problem.
Optical Diffraction Tomography based on 3D Physics-Inspired Neural Network (PINN)
The 3D NN starts with an initial guess for the 3D RI reconstruction (i. e. Born, or Rytov) and aims at reconstructing better 3D reconstruction based on an error function.
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