Consistent empirical physical formulas for potential energy curves of 38–66Ti isotopes by using neural networks
Yazarlar (4)
| Makale Türü |
Özgün Makale
(SCOPUS dergilerinde yayınlanan tam makale)
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| Dergi Adı | Physics of Particles and Nuclei Letters | ||
| Dergi ISSN | 1531-8567 Dergi Bilgileri (2013) | ||
| Makale Dili | – | Basım Tarihi | 01-2013 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 01-11-2013 |
| Cilt / Sayı / Sayfa | 10 / 6 / 528–534 | DOI | 10.1134/S1547477113060022 |
| Makale Linki | https://link.springer.com/article/10.1134/S1547477113060022 | ||
| UAK Araştırma Alanları |
Dedektör Teknolojisi
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| Özet |
| Nuclear shape transition has been actively studied in the past decade. In particular, the understanding of this phenomenon from a microscopic point of view is of great importance. Because of this reason, many works have been employed to investigate shape phase transition in nuclei within the relativistic and nonrelativistic mean field models by examining potential energy curves (PECs). In this paper, by using layered feed-forward neural networks (LFNNs), we have constructed consistent empirical physical formulas (EPFs) for the PECs of 38–66Ti calculated by the Hartree-Fock-Bogoliubov (HFB) method with SLy4 Skyrme forces. It has been seen that the PECs obtained by neural network method are compatible with those of HFB calculations. |
| Anahtar Kelimeler |
BM Sürdürülebilir Kalkınma Amaçları
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| Google Scholar | 20 |