Invention Grant
- Patent Title: System for predicting optical properties of molecules based on machine learning and method thereof
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Application No.: US17199618Application Date: 2021-03-12
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Publication No.: US12159227B2Publication Date: 2024-12-03
- Inventor: Sungnam Park , Joon Young Joung , Min Hi Han , Dong Hun Choi , Min Seok Jeong
- Applicant: Korea University Research and Business Foundation
- Applicant Address: KR Seoul
- Assignee: Korea University Research and Business Foundation
- Current Assignee: Korea University Research and Business Foundation
- Current Assignee Address: KR Seoul
- Agency: NSIP Law
- Priority: KR10-2020-0031586 20200313,KR10-2020-0039313 20200331
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/00 ; G06N3/04 ; G06N20/00 ; G16C20/30 ; G16C20/70 ; G06N7/00 ; G16B15/20

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.
Public/Granted literature
- US20210287137A1 SYSTEM FOR PREDICTING OPTICAL PROPERTIES OF MOLECULES BASED ON MACHINE LEARNING AND METHOD THEREOF Public/Granted day:2021-09-16
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