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Advanced Applied Data Science Lab
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The lab develops machine learning and AI methods and applies them to materials science.
AboutAbout the lab
Innovative AI and machine learning for materials science
The Advanced Applied Data Science Lab develops machine learning and AI methods and applies them to materials science.
The lab studies methods for extracting information from measurement data obtained at synchrotron radiation facilities and with electron microscopes, as well as methods for investigating the order hidden in the atomic arrangements of materials such as glass.
The lab also works on generative AI models for crystalline materials and on compressing large language models.
On the lab's website, it is introduced under the name "Shiga Lab."
Key terms
- Machine learning
- A method that lets computers learn rules from data and use them for prediction and classification
- Generative AI
- AI that creates new content such as text and images. Stable Diffusion and ChatGPT are typical examples
- Synchrotron radiation facility
- A facility that uses the intense light emitted by electrons accelerated to nearly the speed of light to study materials in detail. NanoTerasu is an example
- Structural order
- Strong correlations that appear in seemingly random atomic arrangements over length scales longer than chemical bonds
NewsLab news
A PhD student received an Outstanding Poster Award
Received the JCSJ Paper Award
Published a paper in Scripta Materialia
Published a paper in Microscopy
ResearchResearch themes
The lab works on foundational research in data science, including machine learning, AI, and statistical analysis, as well as research on data analysis methods applied to materials science. It aims to develop innovative machine learning and AI methods and to contribute to the search for and discovery of high-performance materials.
*Illustrative imageAI and Machine Learning
The lab works on generative AI models for crystalline materials, self-supervised denoising models for high-dimensional measurement data, and size compression of large language models. It also covers the mathematics of machine learning and unexplored applications.
*Illustrative imageMeasurement Informatics
The lab develops methods that use machine learning to automatically analyze measurement data obtained at the NanoTerasu synchrotron radiation facility and with electron microscopes. Its targets include discovering information buried in noise and effectively combining multiple measurement techniques.
*Illustrative imageStructural Order Analysis of Materials
In the atomic arrangements of materials that look random, such as glass, there are strong correlations (structural order) over length scales longer than chemical bonds. The lab evaluates them quantitatively with geometric methods such as interatomic voids and the topology of chemical bond networks, and examines how they correlate with physical properties.
MembersFaculty
The members of the Advanced Applied Data Science Lab consist of faculty, researchers, administrative staff, and PhD and master's students.As of 2026
- ProfessorMotoki Shiga
- Project ProfessorKoichiro Yaji
- Associate ProfessorLu Sun
- Assistant ProfessorKoki Kitai
- ProfessorKazunori Yamada
- Assistant ProfessorZIELEWSLI MICHAEL RYAN
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Transmission electron microscope (2)” Gannu03 / CC BY-SA 4.0 (cropped)
- AI and Machine Learning: “139 Server Room 01” Indrajit Das / CC BY-SA 3.0 (cropped)
- Measurement Informatics: “Perkin Elmer Transmission Electron Microscope” Mary Mark Ockerbloom / CC BY-SA 3.0 (cropped)
- Structural Order Analysis of Materials: “Carbon lattice diamond” GYassineMrabetTalk✉ This structure was created with PyMOL. / Public domain (cropped)
- Related lab (Information Networks Lab): “RIT CSH - Network Rack ( )” Jon Parise / CC BY-SA 2.0 (cropped)
- Related lab (Information and Communication Software Lab): “DHL Netherlands local site computer room server racks - IMG 3297” Jemimus / CC BY 2.0 (cropped)
- Related lab (AI-Applied Communication Technology Lab): “Singtel-dishes” mailer_diablo / CC BY-SA 3.0 (cropped)
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