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Acoustic scattering and its inverse: deep learning based methods

  • Speaker: Junliang Lv(Jilin University)

  • Time: May 25, 2026, 10:00-11:00

  • Location: Room M616, College of Science Building

Abstract
In this talk, I will present our latest progress on both forward and inverse acoustic scattering problems. For scattering in unbounded domains, we have introduced a novel alternating-optimized SNN approach that achieves both high computational efficiency and strong accuracy. Furthermore, we have developed a new machine learning framework that can tackle multi-body scattering problems without any prior knowledge of the number of scatterers.