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
Stats
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Dec 3, 2024
Grant Date -
Sep 16, 2021
app pub date -
Mar 12, 2021
filing date -
Mar 12, 2021
priority date (Note) -
In Force
status (Latency Note)
Importance
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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International Classification(s)
- 2021 Application Filing Year
- G06N Class
- 16935 Applications Filed
- 6768 Patents Issued To-Date
- 39.97 % Issued To-Date
Cited Art Landscape
Patent Citation Ranking
- 0 Citation Count
- G06N Class
- 0 % this patent is cited more than
- 1 Age
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