Vol.22 No. 3
〈The NIMS Center for Basic Research on Materials (CBRM)〉
Probing the cutting edge where informatics and measurement technologies meet
State-of-the-art analytical and measurement technologies go beyond observing materials’ nanostructures—they track atomic and electronic behavior in real time. Data-driven approaches streamline the search for materials with desirable properties. These tools are indispensable in modern materials research and development.
Coordinated use of measurement technologies and data-driven techniques is crucial in expediting materials research. Data science techniques extract vast amounts of useful information from measurement data, creating a virtuous cycle that significantly enhances the efficiency of materials development and leads to groundbreaking discoveries.
The NIMS Center for Basic Research on Materials (CBRM)—whose members consist of a team of measurement and data science experts—was launched to implement a coordinated approach to materials development. By combining cutting-edge techniques from both fields, the CBRM is building a versatile foundation to support diverse materials development efforts.
NIMS is strategically integrating these approaches to produce synergistic effects in its materials development.

Key project
Overview of research projects carried out at the Center for Basic Research on Materials (CBRM)
Research Highlights
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2024.11.22
Cutting-Edge Single Molecular Chemistry: Synthesizing Molecules with a Local Probe
A scanning probe microscope (SPM) is indispensable for observing and evaluating the structures of materials at the atomic and molecular level. SPMs have also become important tools for single molecular chemistry—manipulation of individual atoms and molecules to synthesize novel materials. We asked Shigeki Kawai, an active researcher in this field, about his recent research achievements. […]
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2024.11.22
Quantum Beams: A Tool for Revealing the Fundamental Properties of Materials
The number of large-scale facilities capable of generating “quantum beams”—a term popularized in Japan for particle and photon beams—is increasing globally, offering a broader range of beams. These advances allow scientists to explore the atomic and electronic states of materials in greater depth. Shinji Kohara uses quantum beams to unravel the unsolved secrets of glasses, […]
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2024.11.22
Aligning AI and Robotic System for Autonomous Automated Materials Explorations
A robotic experimentation system can be used to automatically synthesize and evaluate materials. Artificial intelligence (AI) can then analyze the evaluation results and propose next areas for investigation. Ryo Tamura developed the NIMS-OS middleware to seamlessly integrate AI and robotic experimentation systems, contributing to the advancement of data-driven materials development. Using AI to make materials […]
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2024.11.22
Compiling a Dictionary to Enable AI to Analyze Polymer Data
PoLyInfo is a publicly available NIMS polymer database. Masashi Ishii has been working to make this database machine-readable, thereby enabling AI to understand the semantics of the data. He is also attempting to integrate PoLyInfo with biological databases, significantly more abundant data sources, to make it possible to address global-scale issues. Creating a polymer dictionary with […]








