Event Tag: artificial intelligence

Aerospace Perspectives Series: How AI is Automating Geometry Preprocessing for Simulation Workflows

Register Now

It’s not news that geometry preprocessing and grid generation have been a bottleneck in simulation workflows. The CFD Vision 2030 Study, published by NASA in 2014, formally identified this as the constraint pacing CFD workflows. More than a decade later, the simulation industry has advanced considerably, yet this core issue remains largely unaddressed.

But now, that is changing. There is an innovative new approach to geometry preprocessing using AI, one that eliminates the bottleneck entirely and brings preprocessing in line with the pace of modern simulation workflows. The solution is Flexcompute’s GeometryAI: an AI-powered preprocessing platform that functions as an intelligent agent, absorbing hours or days of expert geometry preparation work and reasoning over topology and tolerances to produce simulation-ready geometry with little to no human intervention.

Join us for this webinar to learn how GeometryAI can take on this burden, so you can focus on design, analysis, and iteration. This webinar will cover:

  • An overview of GeometryAI and how it works
  • How GeometryAI uses neural reconstruction algorithms to heal geometry without fidelity loss
  • Industry use cases where preprocessing time drops from days to hours
  • A live demonstration: from a raw CAD to a simulation-ready model in minutes
Speaker:
Mike ParkMike Park 2026
Head of Technology, Flexcompute

 

This webinar is free of charge and is open to the public. Registered attendees will receive a post-event email to access the on-demand recording.

Aerospace Perspectives Series: The Accelerating Pace of Physics AI Modeling and What It Means for the Aerospace Industry

 On-Demand Recording Available

Access Replay

The last two years have witnessed a surge in the acceleration in our ability to generate, curate, and use data for large-scale training of modern physics-AI surrogates. Additionally, physics-AI architectures are rapidly improving in their ability to accurately represent complex, industrially relevant geometries and associated physics. Extrapolating into the future, we must ask ourselves the question: “What does this mean for the future of aerospace engineering?”

During this webinar, Professor Alonso will describe the evolving landscape of artificial intelligence and machine learning methods as they relate to various applications in aerospace engineering, including design space exploration, optimization, uncertainty quantification, and data assimilation for digital twins. For example, Luminary Cloud has developed SHIFT-CCA, a physics-AI model for external aerodynamics (including the flowpath for the propulsion system) for the U.S. Air Force’s Collaborative Combat Aircraft. Using SHIFT-CCA, Professor Alonso will discuss how such models can be used and the potential of Luminary Cloud’s SHIFT models for aerospace applications.

Speaker:
Juan AlansoJuan Alonso
CTO and Cofounder, Luminary Cloud; Chair, Department of Aeronautics and Astronautics, Stanford University

 

This webinar is free of charge and is open to the public. Registered attendees will receive a post-event email to access the on-demand recording.