PDE-Controller is a framework that enables large language models (LLMs) to control systems governed by partial differential equations (PDEs).
The framework transforms informal natural language instructions into formal specifications, executes reasoning, and improves PDE control utility.
PDE-Controller includes datasets, math-reasoning models, and evaluation metrics, requiring significant effort for development.
The framework outperforms open source and GPT models in reasoning, autoformalization, and program synthesis, achieving up to a 62% improvement in utility gain for PDE control.
By combining language generation with PDE systems, PDE-Controller shows the potential of LLMs in addressing scientific and engineering challenges.
All data, model checkpoints, and code related to PDE-Controller are available at https://pde-controller.github.io/.