New embodied AI system realizes first AI-created graphene and graphene FET
Researchers from Princeton University, University of Michigan, California State University and Japan’s National Institute for Materials Science have introduced Qumus, an embodied AI system that can autonomously create graphene and fabricate atomically thin graphene devices in a robotic mini-laboratory.
Qumus AI architecture and fully robotic minilab. a Defining characteristics of an AI experimentalist. b Key self-evolving modules of Qumus, including LLM-agents, memory and knowledge systems, and skills including instrumental workflows and materials/devices realization recipes. c Qumus architecture for efficient multi-agent collaboration and robust performance. d A compact, fully robotic minilab consisting of vacuum- and temperature-controlled stages for 2D material mechanical exfoliation, optical flake search, flake transfer and stacking, along with robotic arms, storage modules, cameras, and microscope systems. Image from : arXiv
Qumus is built around the complete graphene workflow: from exfoliating bulk crystals to isolating single-layer flakes and stacking them into functional van der Waals (vdW) devices, all without human intervention. The system combines generative AI, computer vision and robotics to handle the labor-intensive steps that typically limit graphene research, such as flake discovery, thickness assessment and submicron alignment during transfer.
Source: https://www.graphene-info.com/new-embodied-ai-system-realizes-first-ai-created-graphene-and-graphene-fet
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