Patents by Inventor Tetsuya SYOJI

Tetsuya SYOJI has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11721479
    Abstract: A rare earth magnet including a magnetic phase having the composition represented by (Nd(1?x?y)LaxCey)2(Fe(1?z)Coz)14B. When the saturation magnetization at absolute zero and the Curie temperature calculated by Kuzmin's formula based on the measured values at finite temperature and the saturation magnetization at absolute zero and the Curie temperature calculated by first principles calculation are respectively subjected to data assimilation. The saturation magnetization M(x, y, z, T=0) at absolute zero and the Curie temperature obtained by machine learning using the assimilated data group are applied again to Kuzmin's formula and the saturation magnetization at finite temperature is represented by a function M(x, y, z, T), x, y, and z of the formula in an atomic ratio are in a range of satisfying M(x, y, z, T)>M(x, y, z=0, T) and 400?T?453.
    Type: Grant
    Filed: August 24, 2020
    Date of Patent: August 8, 2023
    Assignees: TOYOTA JIDOSHA KABUSHIKI KAISHA, THE UNIVERSITY OF TOKYO
    Inventors: Kazuya Yokota, Tetsuya Syoji, Noritsugu Sakuma, Takashi Miyake, Yosuke Harashima, Hisazumi Akai, Naoki Kawashima, Keiichi Tamai, Munehisa Matsumoto
  • Publication number: 20210065973
    Abstract: A rare earth magnet including a magnetic phase having the composition represented by (Nd(1?x?y)LaxCey)2(Fe(1?z)Coz)14B. When the saturation magnetization at absolute zero and the Curie temperature calculated by Kuzmin's formula based on the measured values at finite temperature and the saturation magnetization at absolute zero and the Curie temperature calculated by first principles calculation are respectively subjected to data assimilation. The saturation magnetization M(x, y, z, T=0) at absolute zero and the Curie temperature obtained by machine learning using the assimilated data group are applied again to Kuzmin's formula and the saturation magnetization at finite temperature is represented by a function M(x, y, z, T), x, y, and z of the formula in an atomic ratio are in a range of satisfying M(x, y, z, T)>M(x, y, z=0, T) and 400?T?453.
    Type: Application
    Filed: August 24, 2020
    Publication date: March 4, 2021
    Applicants: TOYOTA JIDOSHA KABUSHIKI KAISHA, THE UNIVERSITY OF TOKYO
    Inventors: Kazuya YOKOTA, Tetsuya SYOJI, Noritsugu SAKUMA, Takashi MIYAKE, Yosuke HARASHIMA, Hisazumi AKAI, Naoki KAWASHIMA, Keiichi TAMAI, Munehisa MATSUMOTO