alpha decay 1bayesian model averaging 1machine learning 1nuclear mass predictions 1proton-neutron interaction 1
From the 1 of 2 linked papers with an AI index.
2 papers
nucl-th2026
Further exploration of the machine-learning-based nuclear mass table
Liu Yaqi, Li Zhilong, Wang Yongjia +1
The authors apply machine‑learning‑refined nuclear mass models to predict recently measured nuclear masses, residual proton‑neutron interactions, and α‑decay energies, achieving si…
nucl-th2026
Machine learning the impact parameter in heavy-ion collisions at = 4 and 11 GeV: a cross-check study with UrQMD, AMPT, and JAM
Xiaoqing Yue, Guojun Wei, Yongjia Wang +7
By generating heavy-ion collision data with the ultrarelativistic quantum molecular dynamics (UrQMD) model, a multiphase transport (AMPT) model, and the JAM model, the impact param…