• 1. Ansys SimAI Presentation
  • 1.1. Ansys SimAI Overview
  • 1.2. Platform Presentation & Logic
  • 1.3. Ansys SimAI Workflow
• 2. Training Data Preparation
  • 2.1. Data Conversion
  • 2.2. Input Files and Formats
  • 2.3. Guidelines to Preparing your Data
    • 2.3.1. Training Data Selection Best Practices
    • 2.3.2. Data Preparation Best Practices
    • 2.3.3. Simulation Data Sanity Checks and Requirements
    • 2.3.4. Surface files: Data Location and Normals
• 3. Model Building
  • 3.1. Adding Data
  • 3.2. Creating a Project and Adding Data
  • 3.3. Configuring and Building a New Model
  • 3.4. Building on Top of Previous Model
  • 3.5. Model Configuration Settings
• 4. Prediction
  • 4.1. Geometries
  • 4.2. Running a Prediction
  • 4.3. Postprocessings
    • 4.3.1. Confidence Score
    • 4.3.2. Global Coefficients
    • 4.3.3. Volume Postprocessing
    • 4.3.4. Surface Postprocessing
• 5. Analysis
  • 5.1. Model Evaluation Report
  • 5.2. Model Evaluation Report Metrics
• 6. FAQ and Troubleshooting
  • 6.1. FAQ
  • 6.2. Troubleshooting issues
    • 6.2.1. Identifying and Correcting Problematic Normals
• 7. Appendix: Technology