Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: First Excited 2+ Energy State Estimations of Even-even Nuclei by Using
  Artificial Neural Networks   The first excited 2+ energy states of nuclei give many substantial
information related to the nuclear structure. Including these levels, all
excited states of nuclei are shown regularities in spin, parity and energy. In
the even-even nuclei, the first excited state is generally 2+ and the energy
values of them increase as the closed shells are approached. The excited levels
in nuclei can be investigated by using theoretical nuclear models such nuclear
shell model. In the present study for the first time, we have used artificial
neural networks for the determination of the energies of first 2+ states in the
even-even nuclei in nuclidic chart as a function of Z, N and A numbers. We have
used adopted literature values for the estimations. According to the results,
the method is convenient for this goal and one can confidently use the method
for the determination of first 2+ state energy values whose experimental values
do not exist in the literature.

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The categories of this paper are: acc-phys
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The categories of this paper are: q-fin
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The categories of this paper are: hep-ex
2
The categories of this paper are: math
34
The categories of this paper are: chem-ph
9
The categories of this paper are: nlin
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The categories of this paper are: ao-sci
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The categories of this paper are: hep-lat
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The categories of this paper are: adap-org
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The categories of this paper are: q-alg
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The categories of this paper are: econ
33
The categories of this paper are: plasm-ph
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The categories of this paper are: q-bio
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The categories of this paper are: physics
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The categories of this paper are: hep-th
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The categories of this paper are: hep-ph