Patents by Inventor Min Hi HAN

Min Hi HAN 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).

  • System for predicting optical properties of molecules based on machine learning and method thereof
    Patent number: 12159227
    Abstract: Disclosed are a system for predicting optical properties of molecules based on machine learning and a method thereof. More particularly, the system for predicting optical properties according to an embodiment includes a preprocessor that receives molecular information of a target molecule and surrounding molecules, and vectorizes the molecular information of a target molecule and surrounding molecules; a feature extractor that receives the vectorized information of the target molecule and surrounding molecules and extracts the features of the target molecule and surrounding molecules; an integrated feature extractor that receives both features of the target molecule and surrounding molecules and extract the integrated features of the target molecule and surrounding molecules by using an algorithm; and an optical property predictor that receives the integrated features of the target molecule and surrounding molecules and predicts optical properties of the target molecule affected by surrounding molecules.
    Type: Grant
    Filed: March 12, 2021
    Date of Patent: December 3, 2024
    Assignee: Korea University Research and Business Foundation
    Inventors: Sungnam Park, Joon Young Joung, Min Hi Han, Dong Hun Choi, Min Seok Jeong
  • SYSTEM FOR PREDICTING OPTICAL PROPERTIES OF MOLECULES BASED ON MACHINE LEARNING AND METHOD THEREOF
    Publication number: 20210287137
    Abstract: Disclosed are a system for predicting optical properties of molecules based on machine learning and a method thereof. More particularly, the system for predicting optical properties according to an embodiment includes a preprocessor that receives molecular information of a target molecule and surrounding molecules, and vectorizes the molecular information of a target molecule and surrounding molecules; a feature extractor that receives the vectorized information of the target molecule and surrounding molecules and extracts the features of the target molecule and surrounding molecules; an integrated feature extractor that receives both features of the target molecule and surrounding molecules and extract the integrated features of the target molecule and surrounding molecules by using an algorithm; and an optical property predictor that receives the integrated features of the target molecule and surrounding molecules and predicts optical properties of the target molecule affected by surrounding molecules.
    Type: Application
    Filed: March 12, 2021
    Publication date: September 16, 2021
    Applicant: Korea University Research and Business Foundation
    Inventors: Sung Nam PARK, Joon Young JOUNG, Min Hi HAN, Dong Hun CHOI, Min Seok JEONG