English(EN) JAX-WAVE: A Differentiable Physics-Supervised Framework for Inverse Wave Design in Heterogeneous Media

JAX-WAVE 使用物理监督学习进行逆波设计

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-11 05:00

研究人员开发了 JAX-WAVE，一个用于异构介质中逆波设计的新型可微分物理监督学习框架。该方法训练神经网络直接将期望的终端波场和介质属性映射到初始压力分布，从而绕过了重复数值反演的需要。该框架包含一个符号反转关系，以强制执行可行性并提高重建精度，在短计算预算内与传统方法相比实现了显著的误差降低。 AI

影响该框架可以通过利用可微分物理监督学习来加速复杂波基系统的设计。

排序理由详细介绍逆波设计新框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Honghui Du, Binyao Guo, Yushu Pan · 2026-11-11 05:00

JAX-WAVE：异质介质中逆波设计的一种可微分物理监督框架

arXiv:2611.13826v1 Announce Type: new Abstract: Designing a prescribed wave field in a heterogeneous medium requires an initial pressure distribution that compensates for the medium's propagation response. Repeated numerical inversion solves this task afresh for each target and e…

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报道来源 [1]

JAX-WAVE：异质介质中逆波设计的一种可微分物理监督框架

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