Definition
A broader term for AI methods that combine machine learning with physics knowledge.
Physics-Informed Machine Learning, an area combining data-driven models with physics-based constraints, including PINNs and neural-operator approaches.
A broader term for AI methods that combine machine learning with physics knowledge.
Physics-Informed Machine Learning, an area combining data-driven models with physics-based constraints, including PINNs and neural-operator approaches.