The architecture of truth: How Siemens' AI-powered Executable Digital Twin is rewriting the rules of industrial intelligence

The architecture of truth: How Siemens' AI-powered Executable Digital Twin is rewriting the rules of industrial intelligence

Discover how Executable Digital Twin closes the gap between physical assets and real-time insight - using physics-validated AI to optimize energy, generation, and transmission.
What’s new in Simcenter PhysicsAI 2026.1?

What’s new in Simcenter PhysicsAI 2026.1?

Explore what's new in Simcenter PhysicsAI 2026.1: generative AI for engineering design, improved hotspot predictions, 5× faster training, SPH support, and more.
Accurate material model calibration for CAE: Introducing Simcenter Material Modeler 2026.0

Accurate material model calibration for CAE: Introducing Simcenter Material Modeler 2026.0

Discover how your material modeling workflow transforms - from test data to simulation-ready material cards, faster and accurately with Simcenter Material Modeler
Generate physics-aware 3D engineering design concepts with Simcenter PhysicsAI

Generate physics-aware 3D engineering design concepts with Simcenter PhysicsAI

Discover how Simcenter PhysicsAI Generate uses diffusion-based Generative AI trained on simulation data to create physics-aware engineering design concepts from requirements, in seconds.
Beyond the solver: How Geometric Deep Learning is reshaping CAE

Beyond the solver: How Geometric Deep Learning is reshaping CAE

Discover how Geometric Deep Learning powers Simcenter PhysicsAI to deliver fast, accurate CFD & FEA surrogate models - cutting simulation time from days to seconds.
The artisan’s ear in the digital age: Reimagining tool life with AI and Executable Digital Twins

The artisan’s ear in the digital age: Reimagining tool life with AI and Executable Digital Twins

From shop floor intuition to AI-powered foresight - discover how Simcenter Reduced Order Modeling uses Bayesian Neural Networks to predict CNC tool wear and remaining useful life.