An Open-Source Python Library for the development of algorithms for 2D Electromagnetic Inverse Scattering Problems.
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Updated
Dec 19, 2025 - Python
An Open-Source Python Library for the development of algorithms for 2D Electromagnetic Inverse Scattering Problems.
Code for the main models described in “Back-Projection Diffusion: Solving the Wideband Inverse Scattering Problem with Diffusion Models”.
This instruction aims to reproduce the results in the paper “Functional-Input Gaussian Processes with Applications to Inverse Scattering Problems” proposed by Sung, Wang, Cakoni, Harris, and Hung.
A solution, written in C, to Korteweg de Vries using the fourth order Runge-Kutta method and finite differences.
Scripts for the paper "Exploring the inverse line-source scattering problem in dielectric cylinders with deep neural networks". Authors: Nikolaos Pallikarakis, Andreas Kalogeropoulos and Nikolaos Tsitsas. Correspondence at [email protected].
Implements MATLAB simulations from the paper "Qualitative indicator functions for imaging crack networks using acoustic waves". Includes two inversion algorithms for crack detection based on far-field acoustic data.
This repository contains four baseline deterministic models and the U-ViT diffusion model for solving the wideband inverse scattering problem.
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