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About Altair PhysicsAI

Altair PhysicsAI delivers fast physics predictions by learning from your historical data without the limits of parametric studies. Accessible through Altair HyperWorks, our design and simulation platform, this AI-powered CAE technology trains models using any existing simulation studies including those from older design concepts, similar parts, or different programs. With its modern, geometric deep learning capability, PhysicsAI identifies the relationship between shape and performance for any physics.

Once trained, PhysicsAI models can deliver predictions up to 1000x faster than traditional solver simulations, enabling teams to evaluate more concepts and make better design decisions.

Key features

• Native CAE File Support: The solver-agnostic PhysicsAI modeling environment lets you work directly with native CAE models, including historical simulation data models.
• Geometric Deep Learning: PhysicsAI models are trained with groundbreaking geometric deep learning that operates directly on meshes and CAD models. This technology eliminates the time-consuming hand-crafting of parameters needed with other training methods.
• Confidence Score Metric: PhysicsAI offers a confidence score that helps identify novel shapes in your data. By scoring geometric similarity, PhysicsAI prevents questionable predictions and ensures reliable results.
• Altair HyperWorks-Guided Workflows: Simple workflows let you select trained models, generate predictions, and assess quality on a broad range of physics such as computational fluid dynamics (CFD), crash, and manufacturing.

Why Femto Engineering?

Choosing the right software is only part of the solution. Successful implementation is what drives real results.

Femto Engineering helps you:

• Select the right setup for your needs
• Get started quickly with implementation support
• Train your team effectively
• Integrate HyperWorks into your existing workflow
• Get ongoing support from experienced engineers

We focus on one thing: helping you get real value from your simulation investment.

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