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Consistent empirical physical formulas for potential energy curves of 38–66Ti isotopes by using neural networks

  • Physics of Elementary Particles and Atomic Nuclei. Theory
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Abstract

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.

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Authors and Affiliations

  1. Department of Physics, Cumhuriyet University, Sivas, Turkey

    S. Akkoyun & N. Yildiz

  2. Department of Physics, Sinop University, Sinop, Turkey

    T. Bayram

  3. Department of Physics, Nigde University, Nigde, Turkey

    S. O. Kara

Authors
  1. S. Akkoyun
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  2. T. Bayram
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  3. S. O. Kara
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  4. N. Yildiz
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Correspondence to S. Akkoyun.

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Akkoyun, S., Bayram, T., Kara, S.O. et al. Consistent empirical physical formulas for potential energy curves of 38–66Ti isotopes by using neural networks. Phys. Part. Nuclei Lett. 10, 528–534 (2013). https://doi.org/10.1134/S1547477113060022

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