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Physical Properties and Materials Informatics Lab
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The lab is a materials physics lab that uses experiments, computation, and AI to decode complex physical properties.

AboutAbout the lab
Decoding complex physical properties to open up design principles for next-generation functional materials.
The Physical Properties and Materials Informatics Lab (Yamazaki Lab) studies how the functions of amorphous and phase-change materials arise, focusing mainly on metallic materials.
From a physics perspective, the lab investigates how hard-to-see internal states such as local structure, defects, and fluctuations lead to functions such as magnetism, mechanical behavior, and phase change.
By combining materials synthesis, synchrotron radiation measurements, first-principles calculations, and AI and data science, the lab aims to move from understanding to prediction and design.
The lab was newly established in February 2026, and in the 2026 academic year the incoming fourth-year undergraduates were assigned to it as its first cohort.
Key terms
- Amorphous materials
- Materials whose atoms are not arranged regularly like those in a crystal. Their average structure alone is hard to capture, so understanding the local structure is important
- First-principles calculation
- A method that calculates the behavior of atoms and electrons from fundamental laws to predict the electronic state and properties of a material
- Magnetic domain
- A region inside a material where the magnetization points in the same direction. The boundary between domains is called a domain wall
NewsLab news
A second-year undergraduate student joins the lab as a ROUTE student
Incoming fourth-year undergraduates are assigned to the lab as its first cohort
Associate Professor Takahiro Yamazaki takes up his post, and the Yamazaki Lab (Physical Properties and Materials Informatics Lab) is established
ResearchResearch themes
The functions of a material are strongly governed by complex internal states such as microstructure, defects, interfaces, local structure, and fluctuations, so understanding their origin is not easy. Focusing on amorphous and phase-change materials, mainly metallic ones, the lab combines experimental measurements, computational science, and data science and AI to decode the mechanisms of these functions from a physics perspective.
*Illustrative imageExploring the origin of material functions through experimental measurements
The lab observes the internal state of materials from multiple angles using X-ray spectroscopy, synchrotron radiation measurements, magnetic measurements, and other methods to clarify the origin of their functions. It also tracks responses to external fields with time-resolved measurements, paying particular attention to magnetization reversal, domain wall motion, and relaxation processes.
*Illustrative imageReproducing material behavior with computational science
Using first-principles calculations and molecular dynamics simulations, the lab reproduces phenomena inside materials on a computer. It places emphasis on understanding behavior at the atomic and electronic scale that is hard to see in experiments, and on predicting properties before a material is made.
*Illustrative imageMaterials analysis combining physics and AI
By combining physical models with data science, the lab aims to build material analysis methods that are interpretable and reliable. It gives AI physically meaningful indicators and constraints, which helps extract and organize the factors that govern material properties.
MembersFaculty
The members of the Physical Properties and Materials Informatics Lab consist of faculty members and undergraduate students.As of 2026
- Associate ProfessorTakahiro Yamazaki
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: “XYZ stage powder diffraction of solid sample” Warrenmck / CC BY-SA 4.0 (cropped)
- Exploring the origin of material functions through experimental measurements: “Scanning electron microscope - UFCH JH (2020) 01” Tadeáš Bednarz / CC BY-SA 4.0 (cropped)
- Reproducing material behavior with computational science: “Atomic nucleus simulated on a quantum computer” OLCF / CC BY 2.0 (cropped)
- Materials analysis combining physics and AI: “Scanning electron microscope hg” Hannes Grobe at Geological Institute, Kiel (operator) / CC BY-SA 2.5 (cropped)
- Related lab (Advanced Materials Engineering Lab): “255-GRC-1987-C-01044 Fiber-reinforced ceramic matrix, strain damage (2)” 作者不詳 / Public domain (cropped)
- Related lab (Optical and Quantum Materials Engineering Lab): “Rooftop Solar Panels 3KW” Dr. Chinchu C. / CC BY 4.0 (cropped)
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- Related lab (Magnetic and Spintronic Materials Lab): “Molecular beam epitaxy” Yakovlev Viktor / CC BY 4.0 (cropped)
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