Altair PhysicsAI offers geometric deep learning to accelerate physics predictions, enabling faster design insights up to 1000x quicker than traditional solvers.
Vendor
Altair
Company Website
Altair PhysicsAI is a revolutionary AI-powered tool designed to deliver lightning-fast physics predictions, significantly speeding up the design process. Using geometric deep learning, it learns from historical simulation data, bypassing the need for time-consuming parametric studies. This innovative solution works directly on mesh or CAD models, providing predictions up to 1000x faster than conventional solver simulations. With applications in diverse physics fields such as computational fluid dynamics (CFD), crash simulations, and HVAC design, PhysicsAI helps engineering teams test more design variations, enabling quicker iterations and better insights. By leveraging historical data, it ensures reliable predictions and reduces design cycle times, making it an invaluable tool for companies looking to innovate faster and improve design outcomes with minimal computational resources. Features:
- Geometric Deep Learning: Trains models on meshes and CAD designs, eliminating the need for manual parameter adjustments.
- Faster Predictions: Delivers results up to 1000x faster than traditional solvers, accelerating the design process.
- Solver-Agnostic: Works with a wide range of simulation models, regardless of the original solver used.
- Confidence Score Metric: Ensures the reliability of predictions by providing a confidence score for each design.
- Broad Physics Application: Supports various simulations, including CFD, crash, and manufacturing processes.
- Real-time Results: Provides instantaneous simulation outcomes, allowing rapid testing and iteration of designs.
- Integration with HyperWorks: Seamlessly integrates into the Altair HyperWorks design and simulation platform for a comprehensive workflow.