Hidden Layers: AI and the People Behind It

Aug. 16, 2025 · show notes

ABOUT THIS EPISODE

Bridging Physics and AI for Smarter Climate Decisions | EP. 44

In this episode of Hidden Layers, host Ron talks with Dr. Hannah Lu, assistant professor at the University of Texas at Austin and core faculty at the Odin Institute for Computational Engineering and Sciences. Dr. Lu is pioneering the use of AI-powered surrogate models to make complex scientific simulations—like CO₂ absorption in geological formations—faster, more accurate, and more useful for real-world decision-making.

They discuss:

How surrogate models work and why they’re so powerful
The challenges of applying AI to physics-based systems
How digital twins and uncertainty quantification are shaping the future of environmental modeling
The intersection of generative AI, physics constraints, and climate science

Technology

English

United States

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IN THIS EPISODE

hannah lu

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SHOW NOTES 🔗

00:00:00Introduction to Dr. Hannah Liu & Surrogate Modeling

00:03:39What Are Surrogate Models?

00:07:29Physics-Informed AI vs. Purely Data-Driven Models

00:11:15Challenges with Nonlinear and Chaotic Systems

00:15:34From World Models to Generative AI

00:19:21The Role of Uncertainty and Digital Twins

00:23:30Discovering New Physics with Surrogate Models

00:27:47Real-World Example: CO₂ Storage Simulation

00:28:06Closing Thoughts & Resources

TRANSCRIPT 🔗

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