Event Tag: Juan Alonso

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

Register Now

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.

Aerospace Perspective Series: Harnessing Physics AI Models to Accelerate Aerospace Concept Exploration and Design

 On-Demand Recording Available

Access Replay

A Physics AI revolution is brewing right now in the engineering sciences: the availability of massive amounts of data together with recent advances in physics-based AI/ML modeling architectures and the availability of differentiable physics solvers is making this possible. This revolution will have a meaningful and disruptive impact on how aircraft and aircraft components are designed and how distributed engineering teams are organized and work. With advances in large-scale data availability, Physics AI models can be trained in specific domains with inference times around 1–3 seconds but with accuracy in the predictions of the physics and derived quantities within the 1-2% range.

Join Professor Juan Alonso as he explains how Luminary Cloud’s SHIFT Models for aerospace applications can result in efficient 1) exploration of vast design spaces, 2) interactive design, 3) inference-based design optimization, 4) real-time control of physics systems, 5) uncertainty quantification and design under uncertainty, and 6) digital twin applications. 

What You’ll Take Away

  • Learn about recent trends in Physics AI including how key developments are expanding the use cases these models can be leveraged for.
  • Discover the importance of generating massive amounts of high-fidelity data and how these data affect model accuracy for both scalar output quantities and field prediction.
  • Domain-specific vs foundational models: how far can we currently push Physics AI models and how can we improve model generalizability?
  • What are the most applicable use cases for this technology in aerospace engineering?
Speaker:

Juan Alanso Rounded

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

 

Ndu Obi 768x944Obi Ndu
Chief Information and Digital Officer, Otto Aviation

 

Alonso cofounded Luminary Cloud, a modern CAE SaaS platform, in 2019. He previously served as Director of the NASA Fundamental Aeronautics Program. At Stanford University, he focuses on advanced computational methods for aerospace system design. Learn more about Alonso by visiting his LinkedIn profile.

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.