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.

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

• 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