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Materials Control Engineering Lab
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The lab analyzes material microstructures in high dimensions and designs materials using data.
AboutAbout the lab
Unraveling material microstructure and designing with data.
The Adachi Lab studies the relationship between microstructure, the fine internal structure of materials such as metals, and material properties.
The lab analyzes microstructure in high dimensions, including its changes over time, to clarify how microstructures form and how properties emerge.
It also conducts research that compiles the obtained information using machine learning and modeling to estimate microstructures and properties.
Key terms
- Microstructure
- The shape, size, and arrangement of crystal grains and phases inside a material. It determines properties such as strength
- Digital image correlation
- A method that compares images of the surface of a deforming material to measure where and by how much it stretched or shrank
- Machine learning
- A technology that lets computers learn patterns from large amounts of data and use them for prediction and classification
NewsLab news
Professor Adachi received the Thermec Distinguished Award
Professor Adachi received the Academic Achievement Award from the Iron and Steel Institute of Japan
Project Associate Professor Sun received the Paper Award (Microstructure Division) from the Japan Institute of Metals and Materials
An undergraduate student received an Excellence Award at the graduation research presentation session
A master's student received an Excellence Award at the master's thesis presentation session
ResearchResearch themes
The lab's main theme is "integrated materials design." It pursues both elucidation-oriented research, which analyzes microstructure in high dimensions including changes over time, and materials-information-integrated research, which combines the obtained information to estimate microstructures and properties.
*Illustrative imageUnraveling Material Microstructure in High Dimensions
Using digital image correlation, indentation testing, three-dimensional microscopy, and other methods, the lab clarifies how microstructures form and how properties emerge. It also incorporates mathematical methods such as topology to evaluate the shape of microstructures.
*Illustrative imageLinking Microstructure and Properties with Data
Quantified microstructure information is fed into machine learning and modeling to estimate the relationships from processing to microstructure and from microstructure to properties. The lab also works on inverse analysis, tracing back from desired properties to the microstructure and processing method.
MembersFaculty
The members of the Adachi Lab are faculty, administrative staff, and doctoral, master's, and undergraduate students.As of 2026
- ProfessorYoshitaka Adachi
- Project Associate ProfessorFei Sun
- Assistant ProfessorDade Chen
VoicesStudent voices
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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: “377401main MSRR-14” NASA / Public domain (cropped)
- Unraveling Material Microstructure in High Dimensions: “Scanning electron microscope - UFCH JH (2020) 01” Tadeáš Bednarz / CC BY-SA 4.0 (cropped)
- Linking Microstructure and Properties with Data: “Metallographic system based on Martens design, ca. )” ZEISS Microscopy from Germany / CC BY-SA 2.0 (cropped)
- Related lab (Process Informatics Engineering Lab): “Pueblo Chemical Agent-Destruction Pilot Plant Process Cooling Towers ( )” PEO ACWA / CC BY 2.0 (cropped)
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