physics.comp-ph · 2026-08-11 · No. 81
Computational Physics, 2026-08-11.
1 new papers in physics.comp-ph. Titles, authors,
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01 — The papers
1 entries-
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...
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