Artificial Neural Network–Based prediction of production cross sections of the medical radioisotopes 67Ga and 89Zr

Applied Radiation and Isotopes 2026

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Authors: Murat Okutan, Yiğit Ali Üncü, Gençay Sevim, Mert Şekerci, Tolga KILIÇARSLAN, Bayram DEMİR, Hasan Özdoğan
DOI: 10.1016/j.apradiso.2026.112461
Cited by: 2
References: 28

Fields of Study & Subjects

Radiopharmaceutical Chemistry and Applications Nuclear reactor physics and engineering Boron Compounds in Chemistry

Publication details

Journal / source
Applied Radiation and Isotopes
Publisher
Elsevier BV
Volume
230
Pages
112461–112461
Publication date
23 January 2026
Language
EN