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Yoshino Lab
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The lab explores the physics of learning and of random systems using statistical physics and computational physics.

AboutAbout the lab
Exploring interdisciplinary themes through statistical and computational physics.
The Yoshino Lab studies a variety of interdisciplinary themes using the methods of statistical physics and computational physics.
Its current main theme is “the physics of learning and design,” together with the “physics of random systems” that underlies it.
The lab covers the statistical mechanics of learning in deep neural networks, and the physics of random systems ranging from solid-state physics, soft matter, and active matter to information statistical mechanics.
The Yoshino Lab is the Large-Scale Computational Science Division of the D3 Center at Osaka University, and its graduate students belong to the Department of Physics, Graduate School of Science.
Key terms
- Deep neural network
- A computational model that learns through a structure of many stacked layers. This lab studies such learning using statistical mechanics
- Soft matter
- A general term for soft, easily deformable materials such as polymers and liquid crystals
- Active matter
- Matter made up of elements that move by using energy on their own. Groups of cells are one example
ResearchResearch themes
The lab works on a variety of interdisciplinary themes using the methods of statistical physics and computational physics. Its current main theme is “the physics of learning and design,” together with the “physics of random systems” that underlies it.
View More ↗MembersFaculty
The members of the Yoshino Lab consist of faculty, project researchers, JSPS Overseas Research Fellows, visiting researchers, doctoral, master's, and undergraduate students, and a secretary.As of 2026
- ProfessorHajime Yoshino
- Associate ProfessorTakeshi Kawasaki
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: “DAGATA-Detektor Monte Carlo Simulation with Geant4” Babbsack / CC BY-SA 3.0 (cropped)
- Related lab (Asano Lab): “Wafer with Pentium chips” Naotake Murayama from Los Altos, CA, USA / CC BY 2.0 (cropped)
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