<div id="readability-page-1"><div>Kawasaki and Sendai, Japan, Dec 23, 2025 - (JCN Newswire) - Tohoku University and Fujitsu Limited today announced their successful application of AI to derive new insights into the superconductivity mechanism of a new superconducting material. Their findings demonstrate an important use case for AI technology in new materials development and suggests that the technology has the potential to accelerate research and development and drive innovation in various industries such as environment and energy, drug discovery and healthcare, and electronic devices. The AI technology was utilized to automatically clarify causal relationships from measurement data obtained at NanoTerasu Synchrotron Light Source. This achievement was published in the Nature Portfolio scientific journal Scientific Reports on December 22, 2025.To achieve this result, the two parties used Fujitsu's AI platform Fujitsu Kozuchi to develop a new discovery intelligence technique to accurately estimate causal relationships. Fujitsu will begin offering a trial environment for this technology in March 2026. Furthermore, in collaboration with the Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, the two parties applied this technology to data measured by angle-resolved photoemission spectroscopy (ARPES) [1], an experimental method used in materials research to observe the state of electrons in a material, using a specific superconducting material as a sample.Fujitsu will begin offering a trial environment for this technology in March 2026. Moving forward, both organizations will further leverage this technology along with NanoTerasu's world-class capabilities in spatial resolution to automatically clarify the causal relationships between phenomena at the microscopic level. This will contribute to the development of new functional materials that address global environmental issues, one of Fujitsu's materiality priorities, including in the areas of high-temperature superconductivity and next-generation low-power consumption devices.BackgroundTohoku University and Fujitsu established the Fujitsu x Tohoku University Discovery Intelligence Laboratory in October 2022 as part of the Fujitsu Small Research Lab initiative which sees Fujitsu researchers stationed at universities to accelerate joint research, discover new themes, develop human resources, and build long-term relationships. The aim is to contribute to solving societal issues through the development of new technologies and human resource development, by integrating Tohoku University and Fujitsu's technologies, achievements, and knowledge. The two parties are engaged in joint research to develop and socially implement discovery intelligence that uses AI to find solutions to various problems from data, including those in materials science.In the field of materials science, NanoTerasu Synchrotron Light Source, which began operation at Tohoku University in April 2024, enables the measurement of molecular, atomic, and electronic states with nanometer-level high spatial resolution. The facility works to develop new functional materials to drive innovation and contribute to resolving societal issues, including environmental challenges. However, as measurement performance improves, the amount of data created increases. Efficiently extracting only useful information without relying on human experience or intuition and advancing the automation of scientific research processes are key priorities for the future.ARPES measurement data is very large. A causal graph of the data has a massive number of nodes making it difficult to find useful information. The technique developed in this collaboration significantly compresses the scale of the causal graph by performing fitting based on a model equation for the measurement data and constructing a causal graph from only the extracted parameters. In addition, the two parties developed a technique to further simplify the graphs and reduce noise impact. This technology reduced the size of the causal graph to less than 1/20 of the conventional size, enabling the efficient discovery of new insights.Tohoku University and Fujitsu applied this technology to ARPES measurement data of cesium vanadium antimonide (CsV3Sb5), a kagome superconducting material. Cesium vanadium antimonide has potential applications as a high-temperature superconductor, but its superconductivity mechanism is not yet fully understood. they found that superconductivity mechanism is due to the interaction of vanadium, antimony, and cesium electrons.Note[1] Angle-Resolved Photoemission Spectroscopy (ARPES):An experimental method used in materials research to observe the state of electrons in a material by irradiating the crystal surface with ultraviolet light and simultaneously measuring the energy and momentum of electrons emitted outside the crystal due to the external photoelectric effect. In recent years, ARPES technology has advanced, making it possible to determine the real-space distribution of electronic structures by irradiating with ultraviolet light focused to a sub-micron diameter. This has enabled the observation of how the electronic structure of a material changes spatially.Paper InformationTitle: Extracting Causality from SpectroscopyAuthors: Kei Fujita, Kosuke Nakayama, Yuka Fujiki, Takemi Kato, Hiroshi Suito, Hiroyuki Higuchi, and Takafumi SatoJournal: Scientific ReportsDOI: 10.1038/s41598-025-29687-8URL: https://www.nature.com/articles/s41598-025-29687-8About Tohoku UniversityEstablishing a World-Leading Research Center for Materials ScienceAIMR aims to contribute to society through its actions as a world-leading research center for materials science and push the boundaries of research frontiers. To this end, the institute gathers excellent researchers in the fields of physics, chemistry, materials science, engineering, and mathematics and provides a world-class research environment.About FujitsuFujitsu's purpose is to make the world more sustainable by building trust in society through innovation. As the digital transformation partner of choice for customers around the globe, our 113,000 employees work to resolve some of the greatest challenges facing humanity. Our range of services and solutions draw on five key technologies: AI, Computing, Networks, Data &amp; Security, and Converging Technologies, which we bring together to deliver sustainability transformation. Fujitsu Limited (TSE:6702) reported consolidated revenues of 3.6 trillion yen (US$23 billion) for the fiscal year ended March 31, 2025 and remains the top digital services company in Japan by market share.Source: Fujitsu LtdCopyright 2025 JCN Newswire . All rights reserved.</div></div>

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Tohoku University and Fujitsu successfully applied AI to uncover the superconductivity mechanism of a new material, demonstrating AI's potential in materials development. Their findings, published in Scientific Reports, highlight AI's role in accelerating R&D across industries. Using Fujitsu's AI platform, they developed techniques to estimate causal relationships from ARPES data, reducing graph size and noise. This technology will be trialed in March 2026, aiming to address global environmental issues through new functional materials.

Tohoku University and Fujitsu utilize Causal AI to discover superconductivity mechanism of promising new functional material