3 papers
math.NA2026
A Model-Informed Deep Learning Algorithm for Solving the Phaseless Inverse Scattering Problem
Dinh-Liem Nguyen, Nhung H. Nguyen, Aravinth Ravi
We study in this paper an unsupervised, two-step, model-informed deep learning framework for solving the phaseless inverse scattering problem. The objective is to reconstruct a com…
math.NA2026
A Spectral Model-Informed Neural Network for Inverse Source Problems
Dinh-Liem Nguyen, Nhung H. Nguyen, Aravinth Ravi
In this paper, we propose an unsupervised, two-step model-informed deep learning framework for solving the inverse source problem. In the first step, boundary measurement data are…
physics.chem-ph2026
Neural Network Based Molecular Structure Retrieval from Coulomb Explosion Imaging Data
Amirhossein Ghanaatian, Aravinth K. Ravi, Joshua Stallbaumer +6
Determining the structure and following the structural evolution of molecules undergoing chemical reactions is one of the key goals of ultrafast molecular physics and chemistry. Re…