Real-Time Advanced Materials Feedback with AI

March 31, 2025

Blog
Accelerate Materials

Unified real-time materials synthesis monitoring at the atomic scale with AI copilots - a major milestone towards intelligent atomic-scale engineering for advanced materials. We’re announcing our end-to-end AI system that records data from tool interfaces, automatically extracts material properties, and uses natural language context to alert for changes and recommend process actions in real-time. Here's a breakdown:

⚛️ What’s happening: Our platform monitors a stream of electrons interacting with the surface of an atomically-thin material during formation. Task-specific models extract real-time fingerprints of the material and pass this consolidated information to a materials copilot. The copilot recognizes when key metrics change and can alert the operator or produce a tool command for a process adjustment.

📈 Why it matters: High-quality, low-defect advanced materials used in microelectronics, quantum computers, and next-generation communications are very difficult to make reliably. Our AI system delivers SOTA capability for materials processing, enabling never-before-seen visibility into atomic manufacturing and providing a new foundation for automated dynamic control.🚀 Impact: High-yield materials synthesis in a very narrow set of materials underpinned Moore’s Law for the last 60 years. Our system opens a completely new paradigm for production process design and automation. The upside: moving towards a Moore’s Law opportunity for every materials platform.

Let's talk about the future of atomic-scale engineering.

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