Physics-informed Shadowgraph Network: An End-to-end Density Field Reconstruction Method

Autor:	Wang, Xutun, Zhang, Yuchen, Li, Zidong, Wen, Haocheng, Wang, Bing
Rok vydání:	2024
Předmět:	Physics - Fluid Dynamics Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	This study presents a novel approach for quantificationally reconstructing density fields from shadowgraph images using physics-informed neural networks
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2410.20203 Zobrazit plný text záznamu View this record from Arxiv