Low-Lying Excited States in Even-Even Nuclei from Artificial Intelligence Methods

YÜKSEK A. G., AKKOYUN S.

Iranian Journal of Science, 2025 (Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1007/s40995-025-01829-7
  • Dergi Adı: Iranian Journal of Science
  • Derginin Tarandığı İndeksler: Scopus
  • Anahtar Kelimeler: Artificial intelligence, Even-even nuclei, Excited states, Machine learning, Nuclear structure
  • Sivas Cumhuriyet Üniversitesi Adresli: Evet

Özet

Information about the first excited 2+, 4+ and 6+ energy levels of atomic nuclei have an important place in nuclear structure studies as it contains a lot of information. Therefore, determining these energy levels with high accuracy allows obtaining more accurate information about the nucleus. In addition to being obtained experimentally, these energy levels can also be calculated with various theoretical models. In this study, we worked on predicting these energy levels with high accuracy by machine learning with existing experimental data using artificial intelligence approaches. According to the results of the study in which we used five different artificial intelligence approaches, we found that these alternative approach models are suitable for this purpose. We compared the obtained results with existing experimental data in the literature and with each other.