Overview

• The University of Tokyo's dLab automates the synthesis, measurement, and analysis of thin-film materials using modular robotics and machine learning algorithms.
• The system successfully demonstrated autonomous production and structural evaluation of lithium-ion positive-electrode thin films, a key advancement for energy storage research.
• Data from dLab's interconnected instruments is standardized using the MaiML format, enabling seamless cloud-based analysis and fostering reproducibility.
• Researchers are now focused on refining the orchestration software and scheduling to scale up experiments and manage concurrent sample workflows.
• The initiative highlights a shift toward data-driven, high-throughput materials discovery, aiming to free researchers from routine tasks and accelerate innovation.