The new approach uses an unsupervised neural network integrated with fluorescence microscopy priors within the deep-physics-informed sparsity framework to enhance resolution while preserving ...

Researchers have developed a transfer learning-enhanced physics-informed neural network (TLE-PINN) for predicting melt pool morphology in selective laser melting (SLM). This novel approach ...

National Renewable Energy Laboratory (NREL) researchers have developed and demonstrated a physics-informed neural network (PINN) model that can predict battery health nearly 1,000 times faster ...