2 papers
cs.LG2026
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…
physics.flu-dyn2026
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…