Engineers need efficient methods to validate and optimize their designs in today's rapidly evolving technological landscape while minimizing costly physical testing. High-fidelity physics-based simulations have emerged as a highly accurate technique, yet many challenges persist, particularly in computationally expensive problems, leading to long product development cycles.
SimAI is a novel approach that leverages historical simulation data to build an AI-based solver model that can predict product performance extremely fast. This breakthrough empowers engineers to explore more expansive design spaces and refine design.
This webinar series showcases applications of SimAI across multiple physics. Each episode will show how SimAI accelerates the simulation by leveraging previous results to train an AI model and predict performance incredibly fast.
What you will learn:
Based on industrial applications and backed with accurate metrics:
- Incredibly fast yet reliable performance prediction
- Use the past to explore the future: train and build an AI model with previously generated simulation results
- Simulation for all, accessible for designers
- Non-parametric design exploration (3D arbitrary geometries inputs)
- Cloud-native: use it anytime anywhere, data is secure
