#pinns

Solving complex scientific problems often relies on physics-informed neural networks (PINNs), a powerful method for tackling partial differential equations (PDEs). However, building effective PINNs has traditionally been a time-consuming and error-prone process. New research introduces Lang-PINN, an innovative system leveraging large language models (LLMs) to automate this entire workflow…