crossrefMachine Learning: Science and Technology2026-07-20
Physics-constrained neural networks for direct parameter identification under model-form uncertainty
Abstract Parameter identification in nonlinear dynamical systems is complicated by model-form uncertainty arising from systematic biases that violate the zero-mean error assumption of standard data assimilation methods. Recent neural-network-based approaches learn arbitrary bias…