physics.comp-ph · 2026-08-11 · No. 81

Computational Physics, 2026-08-11.

1 new papers in physics.comp-ph. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    Coordinate-Residual Physics-Driven Neural Network for Electromagnetic Inverse Scattering

    Yutong Du, Zicheng Liu, Bo Qi, Yali Zong, Peixian Han

    physics.comp-ph · cs.LG · physics.app-ph

    Electromagnetic inverse scattering is a nonlinear and ill-posed problem, where accurate reconstruction is challenging due to measurement limitations, noise, and high computational costs, especially for 3-D imaging. Although physics-driven neural networks (PDNNs) reduce the dependence on labeled training data, existing accelerated PDNN frameworks often rely on preliminary reconstruction-based region selection, which may introduce instability...

    arxiv.org/abs/2608.09382 · PDF

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