ORNL's autonomous system accelerates materials discovery

Researchers at Oak Ridge National Laboratory (ORNL) have developed an autonomous materials synthesis system that uses artificial intelligence (AI), automation, and real-time diagnostics to speed up materials discovery. The system employs Bayesian optimization to guide experiments and predict optimal synthesis conditions. This approach allows for significantly faster experimentation, reducing the time needed by a factor of ten. The AI-driven system successfully synthesized high-quality WSe2 thin films, showcasing its potential to revolutionize materials science by rapidly identifying optimal conditions for creating advanced materials.

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