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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 - Vimarsana News

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 [...]

Making Sense of Coercivity in Magnetic Materials with Machine Learning - Vimarsana News

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…

Achieving A Quantum Fiber - Vimarsana News

Achieving A Quantum Fiber

Researchers from ICFO, Corning Incorporated, Micro Photon Devices, and Politecnico di Milano successfully demonstrate the transport of two-photon...

Understanding Insulating States of Twisted Graphene - Vimarsana News

Understanding Insulating States of Twisted Graphene

An article published in Communications Physics presented the “fractional correlated insulator” state of the Wannier orbital’s three-peak structure that emerged at fractional filling (?) of n ± 1/3 (with n integer).

Female representation in physics: Can we fix it? Yes we can! - Vimarsana News

Female representation in physics: Can we fix it? Yes we can!

Women experience discrimination in physics through historical structures and a 'first-mover' advantage, creating an illusion that physics is for men.