# AI3.7 Scientific Models

This skill focuses on AI models tailored for scientific domains, such as physics-informed neural networks (PINNs), surrogate models, and models used in simulations. It emphasizes integration with traditional HPC workflows and scientific data.

## Requirements

* External: Familiarity with scientific computing or domain-specific simulation tasks
* Internal: None

## Learning Outcomes

* Describe how AI models can accelerate or complement scientific simulations.
* Explain the concept and application of physics-informed neural networks (PINNs).
* Identify the challenges of incorporating domain knowledge into AI model design.
* Discuss the integration of scientific models with HPC job scheduling and simulation pipelines.
* Evaluate the accuracy, efficiency, and generalizability of scientific AI models.

** Caution: All text is AI generated **