Wei Gao

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20242026

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nucl-th2026

Bayesian neural network with autoencoder for model-based description of $α$ -particle preformation factor

Xiao-Yan Zhu, Heng-Jian Si-Tu, Hao Zhang +3

$α$ decay is an important probe for studying the structure of heavy and superheavy nuclei, in which the $α$ -particle preformation ( $P_{α}$ ) is a key physical quantity for describing…

nucl-th2026

Correlation between nuclear isospin asymmetry and $α$ -particle preformation probability for superheavy nuclei from a Bayesian inference

Xiao-Yan Zhu, Hao Zhang, Wei Gao +3

In the study of $α$ decay within the superheavy nuclear region ( $Z \geq 90$ and $N \geq 140$ ), the $α$ -particle preformation probability $P_{α}$ serves as a crucial physical quantity…

nucl-th2026

Centrifugal-corrected harmonic oscillator model for spherical proton emitters

Xiao-Yan Zhu, Wei Gao, Jia Liu +3

In the present work, we propose an improved harmonic oscillator model to systematically evaluate the proton radioactivity half-lives in spherical nuclei, incorporating centrifugal…

Bayesian neural network with autoencoder for model-based description of α-particle preformation factor

Correlation between nuclear isospin asymmetry and α-particle preformation probability for superheavy nuclei from a Bayesian inference

Centrifugal-corrected harmonic oscillator model for spherical proton emitters

Bayesian neural network with autoencoder for model-based description of $α$ -particle preformation factor

Correlation between nuclear isospin asymmetry and $α$ -particle preformation probability for superheavy nuclei from a Bayesian inference