5 citations · 5 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2025
Adaptive Sampling for Hydrodynamic Stability
Anshima Singh, David J. Silvester
An adaptive sampling approach for efficient detection of bifurcation boundaries in parametrized fluid flow problems is presented herein. The study extends the machine-learning appr…
cs.LG2024★ 5 cited
An efficient wavelet-based physics-informed neural network for multiscale problems
Himanshu Pandey, Anshima Singh, Ratikanta Behera
Physics-informed neural networks (PINNs) are a class of deep learning models that utilize physics in the form of differential equations to address complex problems, including those…