Author

Dai, Yanmeng

INSPIRE profile2053568 ORCID0009-0009-1375-0728

2 papers

Affiliationsfrom papers in this corpus

Nanjing U. Sci. Tech.2024(1)

Collaboratorsmost frequent first

	Paper	Category
Aug 6, 2025#32508.03155	Machine Learning-Driven High-Precision Model for $α$ -Decay Energy and Half-Life Prediction of superheavy nuclei Qingning Yuan🇨🇳 · Panpan Qi · Xuanpen Xiao · Xue Wang🇨🇳 · Juan He · Guimei Long · Zhengwei Duan · Yangyan Dai🇨🇳 · Runchao Yan · Gongming Yu🇨🇳 · Haitao Yang	nucl-th	Phys.Scripta	6
Feb 7, 2024#82402.03692	On the non-universality of heavy quark hadronization in elementary high-energy collisions Yuxuan Dai🇨🇳 · Shouxing Zhao🇨🇳 · Min He🇨🇳	↳ hep-ph	PRC	6

Machine Learning-Driven High-Precision Model for $α$ -Decay Energy and Half-Life Prediction of superheavy nuclei
Qingning Yuan🇨🇳 · Panpan Qi · Xuanpen Xiao · Xue Wang🇨🇳 · Juan He · Guimei Long · Zhengwei Duan · Yangyan Dai🇨🇳 · Runchao Yan · Gongming Yu🇨🇳 · Haitao Yang
Aug 6, 20252508.03155nucl-thPhys.Scripta6 citations
On the non-universality of heavy quark hadronization in elementary high-energy collisions
Yuxuan Dai🇨🇳 · Shouxing Zhao🇨🇳 · Min He🇨🇳
Feb 7, 20242402.03692↳ hep-phPRC6 citations

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Shows only papers in the locally ingested corpus, matched through the INSPIRE author identity. This may not match the author's full publication record.

Dai, Yanmeng

Machine Learning-Driven High-Precision Model for α-Decay Energy and Half-Life Prediction of superheavy nuclei

On the non-universality of heavy quark hadronization in elementary high-energy collisions

Affiliations

Machine Learning-Driven High-Precision Model for $α$ -Decay Energy and Half-Life Prediction of superheavy nuclei