Insider Brief
Researchers at Princeton University developed Qumus, an AI-powered robotic laboratory system that autonomously creates graphene and fabricates atomically thin quantum material devices including graphene transistors.
The embodied AI system combines large language models, robotics, computer vision and automated laboratory equipment to plan, execute, analyze and revise quantum materials experiments without human intervention.
The study suggests autonomous AI experimentalists could accelerate discovery and fabrication workflows in quantum materials, van der Waals structures and future quantum electronics.
An autonomous quantum materials research system has taken a step toward turning AI from a digital assistant into a physical laboratory scientist by autonomously creating graphene and fabricating atomically thin transistors inside a robotic mini-lab, according to a new study from researchers at Princeton University and collaborators.
