Physics-Informed Neural Networks (PINNs): Neural network models that integrate governing physical laws as constraints during training, enabling efficient solutions to differential equations.

AI is helping scientists solve complex equations in minutes - accelerating discoveries in chemistry, climate, and medicine.

More information: Yingheng Tang et al, Optical neural engine for solving scientific partial differential equations, Nature Communications (2025). DOI: 10.1038/s41467-025-59847-3 ...

University of Utah engineers encode partial differential equations in light and feed them into newly designed optical neural engine, or ONE, to accelerate machine learning.