alpha-decay half-life calculations of superheayy nuclei using artificial neural networks

2nd International Conference on Mathematical Modeling in Physical Sciences (IC-MSQUARE), Prague, Czech Republic, 1 - 05 September 2013, vol.490, (Full Text)

Publication Type: Conference Paper / Full Text
Volume: 490
Doi Number: 10.1088/1742-6596/490/1/012105
City: Prague
Country: Czech Republic
Karadeniz Technical University Affiliated: No

Investigations of superheavy elements (SHE) have received much attention in the last two decades, due to the successful syntheses of SHE. In particular, α-decay of SHEs has a great importance because most synthesized SHE have a-decay and the experimentalists have evaluated the theoretical predictions of the a-decay half-life during the experimental design. Because of this, the correct prediction of α-decay half-life is important to investigate superheavy nuclei as well as heavy nuclei. In this work, artificial neural networks (ANN) have been employed on experimental a-decay half-lives of superheavy nuclei. Statistical modeling of a-decay half-life of superheavy nuclei have been found as to be successful.

Investigations of superheavy elements (SHE) have received much attention in the last two decades, due to the successful syntheses of SHE. In particular, alpha-decay of SHEs has a great importance because most synthesized SHE have alpha-decay and the experimentalists have evaluated the theoretical predictions of the alpha-decay half-life during the experimental design. Because of this, the correct prediction of alpha-decay half-life is important to investigate superheavy nuclei as well as heavy nuclei. In this work, artificial neural networks (ANN) have been employed on experimental alpha-decay half-lives of superheavy nuclei. Statistical modeling of alpha-decay half-life of superheavy nuclei have been found as to be successful.