Machine learning-based prediction of proton-induced reaction cross-sections for medically relevant bromine radioisotopes
Accurate prediction of nuclear reaction cross-sections is essential for optimizing the production of medically relevant radioisotopes. In this study, we investigate proton-induced reactions on selenium isotopes leading to the formation of bromine radioisotopes (75Br, 76Br, 77Br, and 80mBr) using mac...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | Results in Physics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2211379725002517 |
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