Author

Gao, Zhengwei

INSPIRE profile1008920 ORCID0000-0003-4331-7318

3 papers·196 citations in this corpus

	Paper	Category
May 7, 2024#42405.02839	Bayesian uncertainty quantification for synthesizing superheavy elements Yueping Fang · Zepeng Gao · Yinu Zhang · Zehong Liao · Yu Yang · Jun Su · Long Zhu	nucl-th	PLB	8
Oct 18, 2022#22210.08213	Elliptic flow in heavy-ion collisions at intermediate energy: the role of impact parameter, mean field potential, and collision term Bo Gao🇨🇳 · Yongjia Wang🇨🇳 · Zepeng Gao🇨🇳 · Qingfeng Li🇨🇳	nucl-th	PLB	14
Aug 24, 2022#22208.10681	Decoding the nuclear symmetry energy event-by-event in heavy-ion collisions with machine learning Yongjia Wang🇨🇳 · Zepeng Gao🇨🇳 · Hongliang Lü🇨🇳 · Qingfeng Li🇨🇳	nucl-th	PLB	18

Bayesian uncertainty quantification for synthesizing superheavy elements
Yueping Fang · Zepeng Gao · Yinu Zhang · Zehong Liao · Yu Yang · Jun Su · Long Zhu
May 7, 2024#4nucl-thPLB8 citations
Elliptic flow in heavy-ion collisions at intermediate energy: the role of impact parameter, mean field potential, and collision term
Bo Gao🇨🇳 · Yongjia Wang🇨🇳 · Zepeng Gao🇨🇳 · Qingfeng Li🇨🇳
Oct 18, 2022#2nucl-thPLB14 citations
Decoding the nuclear symmetry energy event-by-event in heavy-ion collisions with machine learning
Yongjia Wang🇨🇳 · Zepeng Gao🇨🇳 · Hongliang Lü🇨🇳 · Qingfeng Li🇨🇳
Aug 24, 2022#2nucl-thPLB18 citations

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Gao, Zhengwei

Bayesian uncertainty quantification for synthesizing superheavy elements

Elliptic flow in heavy-ion collisions at intermediate energy: the role of impact parameter, mean field potential, and collision term

Decoding the nuclear symmetry energy event-by-event in heavy-ion collisions with machine learning