LAB LOGA page on LabLog, a review site (not the lab's official page)
Informatics for Magnetic Materials Lab
Machine-translated · View original
A lab that interprets magnetic materials through computation and data.
AboutAbout the lab
Understanding magnetic materials through computation and data.
The Informatics for Magnetic Materials Lab conducts research on magnetic materials using computational physics and materials informatics.
Professor Chiharu Mitsumata belongs to the Spintronics and Magnetics field of the Electronic and Physical Engineering Subprogram.
Papers listed in the researcher directory include studies that use machine learning and topological data analysis to investigate losses and coercivity in magnetic materials.
Key terms
- Materials informatics
- A field that applies data science methods such as machine learning to materials research
- Magnetic materials
- Materials that make use of magnetic properties. One of the lab's research keywords
- Computational physics
- A field that investigates physical phenomena through computer calculations
ResearchResearch themes
The lab investigates the properties of magnetic materials using computational physics and data science methods. Magnetic engineering, materials informatics, and computational physics are the research keywords listed in the department's faculty profile.
View More ↗MembersFaculty
- ProfessorChiharu Mitsumata
VoicesStudent voices
Ratings and reviews reflect the experiences of individual current or former students, not the lab's official views. Whether a lab has reviews, or how many, says nothing about the lab itself.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
Student ratings (0 students)
--
--
--
--
--
--
Student voices answer questions like these
- What's great about this lab?
- What did you learn after joining?
- What's the vibe, and what is the professor like?
- Who is this lab for?
- Where do graduates go?
Your experience can help younger students choose their lab. Your name won't be shown.
Write a lab reviewAnonymous · Your draft is saved if you stopRelatedLabs similar to Informatics for Magnetic Materials Lab
Molecular Assembly Nanomaterials LabSchool of Science and Engineering, College of Applied Physics and ChemistryResearch on constructing molecular assembly materials from π…
Magnetic Functional Engineering LabSchool of Science and Engineering, College of Applied Physics and ChemistryDevelopment of novel magnetic and electronic materials using…
Biophysics and Chemical Physics LabSchool of Science and Engineering, College of Applied Physics and ChemistryTheory of elementary processes such as electron transfer rea…
Spintronics LabSchool of Science and Engineering, College of Applied Physics and ChemistryResearch aimed at creating new electronics based on electron…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: “Magnetic bubbles getting squeezed” Søren Peo Pedersen / CC BY-SA 3.0 (cropped)
- Related lab (Molecular Assembly Nanomaterials Lab): “Fume hood, 1904 Gdansk University of Technology” LukaszKatlewa / CC BY 4.0 (cropped)
- Related lab (Magnetic Functional Engineering Lab): “Nuclear magnetic resonance devices in CAFIA laboratory” Sarka Na kopci / CC BY-SA 4.0 (cropped)
- Related lab (Biophysics and Chemical Physics Lab): “Dactolisib molecule ball” Jynto (talk) / CC0 (cropped)
- Related lab (Spintronics Lab): “Molecular-beam epitaxy system at LAAS 0509” Guillaume Paumier (user:guillom) / CC BY-SA 3.0 (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.