Uploaded June 2026 | Updated September 2026, 2 weeks ago

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How can the U.S. build semiconductor capacity faster? In this video, SandboxAQ explains how physics-based AI and Large Quantitative Models (LQMs) can help speed advanced materials discovery and support stronger domestic manufacturing.

With a new $500 million CHIPS Award, SandboxAQ's team of world-class scientists and engineers are developing new materials for the semiconductor industry, including U.S.-based alternatives for critical materials we don't currently control. By grounding AI in the laws of physics, chemistry, and mathematics, LQMs can predict how materials will behave before they are ever physically made — drastically cutting down a process that traditionally takes years.

Discover how SandboxAQ is partnering with Fortune 500 companies, national labs, and manufacturing partners to revolutionize the hardware powering American defense, medical devices, and data centers.

Learn more about SandboxAQ's materials science innovations here: sandboxaq.com/solutions/material-discovery

TIMESTAMPS
00:00 - The Critical Material Dependency Problem
00:20 - Announcing the $500M CHIPS R&D Award
00:34 - Meet the SandboxAQ Materials Science Team
01:05 - Traditional Discovery vs. Physics-Based AI
01:38 - Validating New Materials for the U.S. Market
02:08 - The AQCat25 Model (As Seen in Nature)
02:30 - What is a Large Quantitative Model (LQM)?
02:51 - Strengthening American Advanced Manufacturing

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