This research introduces a novel approach to solve complex engineering equations (PDEs) by leveraging large language models to interpret and incorporate textual information.

Key Innovations:

• Integrates natural language processing with computational engineering
• Creates more accurate surrogate models for solving PDEs
• Enables better incorporation of boundary conditions and physical constraints
• Simplifies the development of engineering simulation tools

Why It Matters: Engineering simulations typically require complex numerical solvers and significant computational resources. This approach could dramatically accelerate simulation development while improving accuracy, making advanced engineering analysis more accessible across industries.

Explain Like I'm Five: Using LLMs to Improve PDE Surrogate Models with Text