首页|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)
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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NETL
NSTL
Royal Soc Chemistry
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).
BeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningChinese Academy of Sciences
NETL
NSTL
Royal Soc Chemistry
