The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 03, 2024

Filed:

Mar. 12, 2021
Applicant:

Korea University Research and Business Foundation, Seoul, KR;

Inventors:

Sungnam Park, Seoul, KR;

Joon Young Joung, Seoul, KR;

Min Hi Han, Seoul, KR;

Dong Hun Choi, Seoul, KR;

Min Seok Jeong, Hanam-si, KR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06N 3/00 (2023.01); G06N 3/04 (2023.01); G06N 20/00 (2019.01); G16C 20/30 (2019.01); G16C 20/70 (2019.01); G06N 7/00 (2023.01); G16B 15/20 (2019.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06N 3/002 (2013.01); G06N 3/04 (2013.01); G06N 20/00 (2019.01); G16C 20/30 (2019.02); G16C 20/70 (2019.02); G06F 2218/08 (2023.01); G06N 7/00 (2013.01); G16B 15/20 (2019.02);
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.


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