2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2025
A novel Trunk Branch-net PINN for flow and heat transfer prediction in porous medium
Haoyun Xing, Kaiyan Jin, Guice Yao +3
A novel Trunk-Branch (TB)-net physics-informed neural network (PINN) architecture is developed, which is a PINN-based method incorporating trunk and branch nets to capture both glo…
physics.data-an2022★ 2 cited
Dimensional homogeneity constrained gene expression programming for discovering governing equations
Wenjun Ma, Jun Zhang, Kaikai Feng +2
Data-driven discovery of governing equations is of great significance for helping us understand intrinsic mechanisms and build physical models. Recently, numerous highly innovative…