From PINNs to PIKANs: recent advances in physics-informed machine learning

Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks and Operators in Scientific Computing: Fluid and Solid Mechanics

Learning the dynamical response of nonlinear non-autonomous dynamical systems with deep operator neural networks

B-DeepONet: An enhanced Bayesian DeepONet for solving noisy parametric PDEs using accelerated replica exchange SGLD