13 citations · 17 across the 2 of their papers we have counts for
2 papers
cs.CE2023★ 13 cited
Predictive Limitations of Physics-Informed Neural Networks in Vortex Shedding
Pi-Yueh Chuang, Lorena A. Barba
The recent surge of interest in physics-informed neural network (PINN) methods has led to a wave of studies that attest to their potential for solving partial differential equation…
physics.flu-dyn2022★ 4 cited
Experience report of physics-informed neural networks in fluid simulations: pitfalls and frustration
Pi-Yueh Chuang, Lorena A. Barba
Though PINNs (physics-informed neural networks) are now deemed as a complement to traditional CFD (computational fluid dynamics) solvers rather than a replacement, their ability to…