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Scientific Machine Learning and AI for Science Lab (Takaharu Yaguchi)
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An applied mathematics lab that studies topics such as numerical analysis and machine learning.
AboutAbout the lab
Exploring numerical analysis and machine learning from an applied mathematics perspective.
Professor Takaharu Yaguchi's lab lists numerical analysis, machine learning, mathematical modeling, and geometric mechanics as its research themes.
In the researcher profile, the research fields are classified as applied mathematics and statistical mathematics.
Published papers include work that uses neural networks to reproduce phenomena in accordance with physical laws such as energy conservation and dissipation.
Key terms
- Numerical analysis
- The field of mathematics that studies methods for approximating the solutions of equations on a computer, and the errors of those approximations.
- Machine learning
- Technology that lets computers learn patterns from data and use them to make predictions and decisions.
ResearchResearch themes
The researcher profile lists social network analysis, machine learning, mathematical modeling, numerical analysis, geometric mechanics, and Morphological Computing as research themes. The papers cover topics such as machine learning models that preserve the conservation laws of physical phenomena, and error estimation for numerical solutions of partial differential equations obtained with neural networks.
View More ↗MembersFaculty
- ProfessorTakaharu Yaguchi
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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: “Eigenmodes of GWW Isospectral Domains” Rotem Shalev / CC BY 4.0 (cropped)
- Related lab (〈科学機械学習・AI for Science〉): “FEM Simulation Akustik” Ibsmc / CC BY 4.0 (cropped)
- Related lab (〈マグニチュード理論・代数トポロジー〉): “Wedge sum of spheres” GeometryGirl / Public domain (cropped)
- Related lab
(マグニチュード理論・代数トポロジー（浅尾 泰彦） ): “I heart algebraic topology ( )” Quinn Dombrowski from Berkeley, USA / CC BY-SA 2.0 (cropped) - Related lab (〈計算代数・数式処理〉): “Roots of polynomial and its derivative” Illustr / CC BY-SA 4.0 (cropped)
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