Robotics & Machine Learning Daily News2024,Issue(Jan.22) :14-14.

Sichuan University Reports Findings in Artificial Intelligence (Aienhanced chemical paradigm: From molecular graphs to accurate prediction and mechanism)

Robotics & Machine Learning Daily News2024,Issue(Jan.22) :14-14.

Sichuan University Reports Findings in Artificial Intelligence (Aienhanced chemical paradigm: From molecular graphs to accurate prediction and mechanism)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligence is the subject of a report. According to newsoriginating from Chengdu, People’s Republic of China, by NewsRx correspondents, research stated, “Thedevelopment of accurate and interpretable models for predicting reaction constants of organic compoundswith hydroxyl radicals is vital for advancing quantitative structure-activity relationships (QSAR) in pollutantdegradation. Methods like molecular descriptors, molecular fingerprinting, and group contribution methodshave limitations, as traditional machine learning struggles to capture all intramolecular informationsimultaneously.”

Key words

Chengdu/People’s Republic of China/Asia/Artificial Intelligence/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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