HackerPapers

arXiv:2410.20203physics.flu-dyn

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

Xutun Wang, Yuchen Zhang, Zidong Li, Haocheng Wen, Bing Wang

HN submission. Found in a submission link or body. Submitters do not count as commenters in the main ranking; a submission is not an endorsement.

Abstract

This study presents a novel approach for quantificationally reconstructing density fields from shadowgraph images using physics-informed neural networks

arXiv comments
Experimental Thermal and Fluid Science (2025)
Journal reference
DOI
doi:10.1016/j.expthermflusci.2025.111562
Subjects
physics.flu-dynFluid Dynamics cs.AIArtificial Intelligence

On Hacker News

No comments linking this paper were found in the collected sources. Found in 1 HN submission from Nov 2024 to Nov 2024. Open submission discussions.

Comments linking this paper, per year.

Discussed in comments0 threads

No comments linking this paper were found in the collected sources. Open submission discussions.

Submitted to Hacker News

Connected through shared HN threads, not inferred similarity or a recommendation.