1 citations · 1 across the 3 of their papers we have counts for
3 papers
physics.flu-dyn2026
Full-component reconstruction of three-dimensional fluid stress tensors
Shunsuke Kumagai, Shun Miyatake, Ryusuke Cho +5
Forces govern how fluids deform biological tissues, regulate cardiovascular function, and determine the performance and failure of soft materials. Recent advances in flow birefring…
physics.flu-dyn2025
Reconstruction of three-dimensional fluid stress field via photoelasticity using physics-informed convolutional encoder-decoder
Daichi Igarashi, Shunsuke Kumagai, Yuto Yokoyama +3
Measuring stress fields in fluids and soft materials is crucial in various fields such as mechanical engineering, medicine, and bioengineering. However, conventional methods that c…
cs.LG2024★ 1 cited
Graph Neural PDE Solvers with Conservation and Similarity-Equivariance
Masanobu Horie, Naoto Mitsume
Utilizing machine learning to address partial differential equations (PDEs) presents significant challenges due to the diversity of spatial domains and their corresponding state co…