LAB LOGA page on LabLog, a review site (not the lab's official page)
Inoue Lab(Physical Metallurgy Lab／Steels and Structural Materials)
Machine-translated · View original
The lab investigates the deformation and fracture of structural materials such as steels, using data science as well.
AboutAbout the lab
Toward structural materials that combine strength and ductility.
The Inoue Lab studies defects, deformation, and fracture in metals and alloys, including steels.
Stronger structural materials make it possible, for example, to build lighter car bodies, which helps address resource and energy problems.
The lab aims to make materials easier to deform without losing strength.
Drawing on data-driven materials science, the lab works to develop new structural materials with improved performance.
Key terms
- Structural materials
- Materials that bear loads, serving as the framework of buildings, automobiles, and machines
- Phase transformation
- A change in which the arrangement of the crystal structure within the same substance shifts into a different form as temperature or applied force changes
- Molecular dynamics
- A method of studying the properties of a material by calculating and tracking the motion of each individual atom
ResearchResearch themes
The lab aims to clarify how defects, deformation, and fracture occur in metals and alloys, including steels. By combining atomic-scale calculations, machine learning, and in situ observation, it investigates the link between a material's microstructure and its properties.
*Illustrative imageCalculating Atomic Forces with Machine Learning
The lab improves the accuracy of interatomic potentials used in molecular dynamics and Monte Carlo simulations by combining neural networks with physical models. This makes it possible to run large-scale calculations of the properties of point defects, dislocations, and grain boundaries in body-centered cubic iron.
*Illustrative imageReading Properties from Microstructure Images
The lab investigates the links among how a material is made, its microstructure, and its properties by combining deep learning, Bayesian inference, and physical models. It predicts a material's properties from microstructure images and also estimates the uncertainty of those predictions.
*Illustrative imageObserving Deformation and Phase Transformation In Situ
Using a digital holographic microscope, the lab tracks the surface roughness of stretched metal with high temporal and spatial resolution. It observes in situ how slip bands form and how bainite transformation proceeds in low-carbon steel.
MembersFaculty
The Inoue Lab's members consist of faculty, research advisors, technical staff, postdoctoral researchers, doctoral and master's students, and research students.As of 2025
- ProfessorJunya InouePublications ↗
VoicesStudent voices
Compiled from answers by students who were in the lab. Ratings and reviews reflect individual students' experiences, not the lab's official views.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
On a 4-point scale, ● marks where students' answers fall
Who is this lab for?
What's great about this lab?
What did you learn after joining?
What's the vibe, and what is the professor like?
Where do graduates go?
RelatedLabs similar to Inoue Lab(Physical Metallurgy Lab／Steels and Structural Materials)
Enoki-Shiraiwa LabFaculty of Engineering, Department of Materials EngineeringElucidation of fracture mechanisms and structural health mon…
Nambu LabFaculty of Engineering, Department of Materials EngineeringInterface control, microstructure, and mechanical properties…
Edagawa Lab (Strength and Physical Properties of Materials)Faculty of Engineering, Department of Materials EngineeringMaterial properties, strength of materials, quasicrystals, p…
Yamabe-Mitarai LabFaculty of Engineering, Department of Materials EngineeringImproving high-temperature strength and creep properties of …The information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
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: “BrutTrempe316L” Q2Q7 / Public domain (cropped)
- Calculating Atomic Forces with Machine Learning: “Bond-order interatomic potential” Jbyggm / CC BY-SA 4.0 (cropped)
- Reading Properties from Microstructure Images: “20180308 Martensite” Melancholia~itwiki / CC BY-SA 4.0 (cropped)
- Observing Deformation and Phase Transformation In Situ: “Eprouvette plate cassee wb” Cdang / Public domain (cropped)
- Related lab (Enoki-Shiraiwa Lab): “Bolt-fatigue-fracture” Wang Hui-li, Qin Si-feng / CC BY 4.0 (cropped)
- Related lab (Nambu Lab): “EBSD orientation map of ferrous lath martensite” Tiberio / CC BY-SA 4.0 (cropped)
- Related lab (Edagawa Lab (Strength and Physical Properties of Materials)): “Icosahedrite Diffraction Pattern” Paul Steinhardt / CC BY-SA 4.0 (cropped)
- Related lab (Yamabe-Mitarai Lab): “Turbine blades ( )” Håkan Dahlström from Malmö, Sweden / CC BY 2.0 (cropped)
About LabLog
LabLog is a lab review app for students only. Student members at each university interview students in labs and publish what they say. Student voices can only be read by students who sign up with a university email address. Operated by bestiee Inc.
Learn more about LabLog ↗Search engines and AI may reference the basic lab info and rating summaries on this page and the description of LabLog. Student voices are for student members only. Automated collection by programs (scraping, or input to or training of AI) is prohibited under Article 8 of the Terms of Service. If you need data for research or analysis, please contact us.