Robotics & Machine Learning Daily News2024,Issue(Feb.27) :9-10.DOI:10.1039/d3cp05935a

Data on Machine Learning Described by Researchers at Chinese Academy of Sciences (Generating a Skeleton Reaction Network for Reactions of Large-scale Reaxff Md Pyrolysis Simulations Based On a Machine Learning Predicted Reaction Class)

Robotics & Machine Learning Daily News2024,Issue(Feb.27) :9-10.DOI:10.1039/d3cp05935a

Data on Machine Learning Described by Researchers at Chinese Academy of Sciences (Generating a Skeleton Reaction Network for Reactions of Large-scale Reaxff Md Pyrolysis Simulations Based On a Machine Learning Predicted Reaction Class)

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Abstract

2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “The reactive molecular dynamics using ReaxFF provides an effective means to generate global reactions for pyrolysis of realistic fuel mixtures. The reactions from large-scale pyrolysis simulations of a fuel mixture may be characterized by multiple reaction sites, explosion of intermediate species structures, and scattered contribution of diversified pathways to product species.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), National Natural Science Foundation of China (NSFC).

Key words

Beijing/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Chinese Academy of Sciences

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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