System for predicting optical properties of molecules based on machine learning and method thereof

Number of patents in Portfolio can not be more than 2000

United States of America

PATENT NO 12159227
APP PUB NO 20210287137A1
SERIAL NO

17199618

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ATTORNEY / AGENT: (SPONSORED)

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Abstract

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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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Patent Owner(s)

Patent OwnerAddress
KOREA UNIVERSITY RESEARCH AND BUSINESS FOUNDATIONSPECIAL CITY SEOUL KOREA SEOUL

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Choi, Dong Hun Seoul, KR 4 6
Han, Min Hi Seoul, KR 1 1
Jeong, Min Seok Hanam-si, KR 33 10
Joung, Joon Young Seoul, KR 1 1
Park, Sungnam Seoul, KR 5 38

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