Patents by Inventor Kyoung-June KO

Kyoung-June KO 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).

  • Analyzing method for perovskite structure using machine learning
    Patent number: 11062446
    Abstract: A method of analyzing a perovskite structure using machine learning, the method comprising the steps of: (a) obtaining an atomic image using an atomic structure simulator; (b) making a CNN model learn the atomic image; and (c) obtaining an atomic image of an actual substance using a TEM or a STEM and then applying the image to the learnt CNN model.
    Type: Grant
    Filed: September 27, 2019
    Date of Patent: July 13, 2021
    Assignee: Rostech Academy-Industry Foundation
    Inventors: Si-Young Choi, Gi-Yeop Kim, Kyoung-June Ko, Jin-Hyuk Jang
  • ANALYZING METHOD FOR PEROVSKITE STRUCTURE USING MACHINE LEARNING
    Publication number: 20200143533
    Abstract: A method of analyzing a perovskite structure using machine learning, the method comprising the steps of: (a) obtaining an atomic image using an atomic structure simulator; (b) making a CNN model learn the atomic image; and (c) obtaining an atomic image of an actual substance using a TEM or a STEM and then applying the image to the learnt CNN model.
    Type: Application
    Filed: September 27, 2019
    Publication date: May 7, 2020
    Inventors: Si-Young CHOI, Gi-Yeop KIM, Kyoung-June KO, Jin-Hyuk JANG