Latest Articles for PINNs

A new approach enhances the effectiveness of deep learning in solving PDEs.

Scientists use physics-informed neural networks to improve solutions for phase change equations.

A new method combines contraction analysis and neural networks for better system estimation.

Discover how neural networks enhance the performance of capacitive touch sensors.

A new solver improves generalization in physics-informed neural networks.

Combining meta-learning and GAMs to enhance PINN solutions for complex equations.

New models accelerate predictions of turbulent flow for innovative design.

Discover how AI is improving engineering solutions through innovative models and techniques.