The University of Tokyo, in collaboration with research partners, has developed a fully automated digital laboratory system called dLab (digital laboratory), designed to streamline the synthesis, structural analysis, and property measurement of thin-film materials. This breakthrough, powered by robotics and data-driven technologies, significantly enhances the efficiency of materials research. The findings were published in Digital Discovery.
While machine learning and robotics are increasingly pivotal in materials development, data acquisition remains a bottleneck. To address this, the researchers created a modular, interconnected digital lab. The dLab system comprises two core components: an automated synthesis and measurement platform, and a data acquisition and analysis unit. Measurement data is standardized using the MaiML (Measurement and Instrumentation Markup Language) format and uploaded to a cloud database for processing.
In practical tests, the dLab autonomously synthesized and characterized specific thin-film materials, including lithium-ion battery cathode films and their X-ray diffraction analysis. By automating repetitive tasks, the system allows researchers to generate large volumes of high-quality experimental data, advancing the automation of materials science.
Looking ahead, the team plans to enhance system scheduling to better support multi-sample management and accelerate material discovery. The project aims to establish a digital R&D environment that promotes data sharing and enables scientists to focus more on innovative research, ultimately expediting the discovery and application of new materials.