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22min chapter
#12: Deep Prasad - How to Build a Physics-Fluent AI System
First Principles with Christian Keil
AI Applications in Material Science Discovery
Exploration of why AI is a valuable tool for material science discovery, focusing on techniques like CDVAEs and VAEs for analyzing crystal structures. Discussion on training AI with noisy images, generating realistic constructions, and challenges in acquiring data for physics-based AI systems. Integration of complex mathematical rules and group theory into neural networks for physics tasks, bridging the gap between AI and chemistry experts to revolutionize the materials supply chain.
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