?-decay half-life calculations of superheavy nuclei using artificial neural networks
dc.contributor.author | Bayram, Tuncay | |
dc.contributor.author | Akkoyun, Serkan | |
dc.contributor.author | Kara, Seyit Okan | |
dc.date.accessioned | 2014-08-27T08:07:11Z | |
dc.date.available | 2014-08-27T08:07:11Z | |
dc.date.issued | 2014 | |
dc.description.abstract | Investigations of superheavy elements (SHE) have received much attention in the last two decades, due to the successful syntheses of SHE. In particular, ?-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 ?-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. | |
dc.identifier.citation | Bayram, T., Akkoyun, S., Kara, S. O. "?-decay half-life calculations of superheavy nuclei using artificial neural networks". Journal of Physics: Conference Series, 490 012105. | |
dc.identifier.doi | 10.1088/1742-6596/490/1/012105 | |
dc.identifier.issn | 1742-6596 | |
dc.identifier.scopus | 2-s2.0-84897007557 | |
dc.identifier.uri | http://iopscience.iop.org/1742-6596/490/1/012105/pdf/1742-6596_490_1_012105.pdf | |
dc.identifier.uri | https://hdl.handle.net/11486/474 | |
dc.identifier.uri | https://doi.org/10.1088/1742-6596/490/1/012105 | |
dc.identifier.wos | WOS:000335909300103 | |
dc.language.iso | en | |
dc.publisher | Journal of Physics: Conference Series | |
dc.relation.publicationcategory | Makale - Kategorisiz | |
dc.title | ?-decay half-life calculations of superheavy nuclei using artificial neural networks | |
dc.type | Article |
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