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Tokyo University of Science: Research Using Data Science, Materials Informatics May Lead to Better EV Motors - High-Performance Computing News Analysis

Dec. 1, 2022 — Tokyo University of Science today said researchers have combined several disciplines to investigate coercity, which is the physical [...]
Masato Kotsugi Research Using Data Science Communications Physics Tokyo University Of Science Tokyo University Materials Informatics May Lead

Making Sense of Coercivity in Magnetic Materials with Machine Learning

Coercivity is a physical property of magnetic materials that has much importance in the optimization of energy efficiency in various applications, such as electric motors. However, it is difficult to analyze using the currently available theories, since they cannot account for the material’s defects and other types of inhomogeneities. To tackle this, scientists combined data…
Masato Kotsugi Energy Landscape Model For Interpreting Coercivity Mechanism Communications Physics Tokyo University Of Science Making Sense Magnetic Materials

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