Effects of nuclear collective vibrations on the α -decay fine structure of vibrational nuclei with A≈220

Theoretical predictions on α-decay properties of some unknown neutron-deficient actinide nuclei using machine learning *

“…For α-decay energies, the popular models include the finite-range droplet model (FRDM) [22], the finite-range liquid-drop model (FRLDM) [22], the Thomas-Fermi (TF) model [23], the Duflo-Zuker (DZ) model [24], the empirical formula based on the liquiddrop model [25], and the linear trajectory under the valence correlation scheme [26]. For α-decay half-lives, the popular models include the new Geiger-Nuttall law (NGNL) [27], the density-dependent cluster model (DDCM) [28][29][30][31][32][33], the multiple channel cluster model (MCCM) [34,35], the generalized liquid drop model (GLDM) [36], the universal decay law (UDL) [37], the quartetting wave function approach [38,39], and the quartet model [40]. These traditional methods have been adopted in various experimental works to provide theoretical values for comparison.…”

基于神经网络预测重核α衰变半衰期

“…, [214][215][216]221 U [3,[6][7][8], 219,220,222−224 Np [1,2,[9][10][11], 220,221 Pa [12,13], 236 Bk [14], 240 Es [14], 和 224 Md [15]. 在这些研究中，α衰变是一 种重要手段，通过对α衰变的研究，可以得到原子 核的基态半衰期，结合能, 壳结构信息，是重核合 成的重要鉴别手段。 对 α 衰 变 的 理 论 研 究 始 于19世 纪， Gamow [16]， Gurney [17] [24][25][26][27][28][29][30][31][32]，多道团簇模型(MCCM) [33,34]， 通用衰变律(GLDM) [35,36]，四次波函数方法 [37,38]，以及四因子模型 [39]。一些经验公式 [40][41][42] [40,41]。从已有的经验公式中，α衰变的Q值,原 子核的质子数和质量数Z，A被用来计算半衰期， 半衰期与Q值成负相关，与Z和A成正相关。我们对 源数据作如下处理:…”