Patents by Inventor Hee Young Kwon

Hee Young Kwon 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).

  • Magnetic parameter value estimation method and device using deep learning
    Patent number: 11934754
    Abstract: Disclosed is a magnetic parameter value estimation method using deep learning, the magnetic parameter value estimation method including creating a simulated magnetic domain image corresponding to a spin configuration of a two-dimensional magnetic system created through computer simulation, modeling a deep neural network using the simulated magnetic domain image, and estimating a magnetic parameter value of an observed magnetic domain image using the modeled deep neural network.
    Type: Grant
    Filed: October 16, 2020
    Date of Patent: March 19, 2024
    Assignee: Korea Institute of Science and Technology
    Inventors: Hee Young Kwon, Jun Woo Choi
  • Method and apparatus for generating skyrmion lattice stabilized at high temperature
    Patent number: 11393975
    Abstract: Provided is a method of a generating a skyrmion. The method includes a step of preparing a magnetic multilayer system and a step of generating a skyrmion at a temperature of 400° C. or higher by adjusting the magnetic anisotropy value and the magnetization value of the magnetic multilayer system.
    Type: Grant
    Filed: November 20, 2020
    Date of Patent: July 19, 2022
    Inventors: Jun Woo Choi, Hee Young Kwon, Byoung Chul Min, Suk Hee Han, Hye Jung Chang
  • Method and Apparatus for Generating Skyrmion Lattice Stabilized at High Temperature
    Publication number: 20220020921
    Abstract: Provided is a method of a generating a skyrmion. The method includes a step of preparing a magnetic multilayer system and a step of generating a skyrmion at a temperature of 400° C. or higher by adjusting the magnetic anisotropy value and the magnetization value of the magnetic multilayer system.
    Type: Application
    Filed: November 20, 2020
    Publication date: January 20, 2022
    Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
    Inventors: Jun Woo CHOI, Hee Young KWON, Byoung Chul MIN, Suk Hee HAN, Hye Jung CHANG
  • MAGNETIC PARAMETER VALUE ESTIMATION METHOD AND DEVICE USING DEEP LEARNING
    Publication number: 20210365615
    Abstract: Disclosed is a magnetic parameter value estimation method using deep learning, the magnetic parameter value estimation method including creating a simulated magnetic domain image corresponding to a spin configuration of a two-dimensional magnetic system created through computer simulation, modeling a deep neural network using the simulated magnetic domain image, and estimating a magnetic parameter value of an observed magnetic domain image using the modeled deep neural network.
    Type: Application
    Filed: October 16, 2020
    Publication date: November 25, 2021
    Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
    Inventors: Hee Young Kwon, Jun Woo Choi