Contents Expand/Collapse 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