Constructing probing functions for direct sampling methods for inverse scattering problems with limited-aperture data: finite space framework and deep probing …
This work studies an inverse scattering problem when limited-aperture data are available
that are from just one or a few incident fields. This inverse problem is highly ill-posed due to …
that are from just one or a few incident fields. This inverse problem is highly ill-posed due to …
-deepDSM for interface reconstruction: operator learning and a Learning-Automated FEM package
In this work, we propose an Operator Learning (OpL) method for solving boundary value
inverse problems in partial differential equations (PDEs), focusing on recovering diffusion …
inverse problems in partial differential equations (PDEs), focusing on recovering diffusion …
A Deep Learning Framework for Three Dimensional Shape Reconstruction from Phaseless Acoustic Scattering Far-field Data
The inverse scattering problem is of critical importance in a number of fields, including
medical imaging, sonar, sensing, non-destructive evaluation, and several others. The …
medical imaging, sonar, sensing, non-destructive evaluation, and several others. The …
Γ-Deepdsm for Interface Reconstruction: Operator Learning and a Learning-Automated Fem Package
In this work, we propose an Operator Learning (OpL) method for solving boundary value
inverse problems in partial differential equations (PDEs), focusing on recovering diffusion …
inverse problems in partial differential equations (PDEs), focusing on recovering diffusion …