Primary Goals

Accelerating scientific discovery by transitioning from human-speed microscopy to autonomous operations. We harness large language models and machine learning to uncover structure-property relationships and close the loop on material synthesis and characterization.

ML & AE

Agentic

Optimization

Hackathon

Upcoming events

Other

AHMADI Research Lab

Accelerating Hybrid Materials by Automated Discovery Innovation.

Pioneering AI-driven automated synthesis and high-throughput workflows to solve global renewable energy and optoelectronic challenges.

Center for Materials Processing

Directed by Philip Rack

Fostering interdisciplinary research in materials processing to drive new product development, solve performance challenges, and improve industrial competitiveness.

Nanoindentation
Dayakar Penumadu Lab

Techniques & Workflows

AE SPM

Pioneering intelligent SPM workflows to unravel complex material behaviors, accelerating the pace of discovery and enabling transformative advances across diverse fields.

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AE STEM

Developing cutting-edge automated STEM methodologies that leverage machine learning algorithms and autonomous agents for real-time decision-making and adaptive experimentation.

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Fabrication / Synthesis

"What I cannot make, I cannot understand." — Richard Feynman

Leveraging ML to move from passive observation to active, high-throughput materials discovery and autonomous atomic-scale manufacturing.

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Xray

Currently in development.

Future video and content will go here.