Physics-based AI (PIAI) Hybrid / Neuro-symbolic AI; Industrial AI
noun phrase
Definition: AI approaches that combine data-driven learning with physical laws, simulation outputs, governing equations, or domain constraints in order to improve accuracy, robustness, and generalization in scientific and engineering tasks [NVIDIA Developer].
Example in context: “NVIDIA PhysicsNeMo … offers multiple tools and algorithms for physics-based AI models and simulations, including PINNs.” [Michaloglou et al. 2025]
Synonyms: PIAI, physics-informed AI; physics-guided AI
Related terms: physics-informed machine learning; scientific machine learning; surrogate modeling; hybrid modeling