Complex physics-informed neural network

Key Points

• Demonstrates how physics-informed neural networks can enhance data-driven modeling.
• Finds that integrating physical laws into neural networks improves numerical simulation accuracy.
• Analysis highlights the role of machine learning techniques in understanding complex physical systems.
• Supports future development of advanced modeling tools by leveraging the physics-informed approach.