Original language | Undefined |
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Pages (from-to) | 197 |
Number of pages | 1 |
Journal | Eur.Phys.J. A |
Volume | 57 |
Publication status | Published - 2021 |
Imaging neutron capture cross sections: i-TED proof-of-concept and future prospects based on Machine-Learning techniques
n_TOF Collaboration
- Nuclear Physics Group
- Nursing & Midwifery
- Economics
- Physics and Astronomy - Administration
- Department of Chemistry
- Cancer Research UK Manchester Institute
- Division of Population Health, Health Services Research & Primary Care (L5)
- Medical Education (L5)
- Department of Physics & Astronomy
- Division of Psychology & Mental Health
Research output: Contribution to journal › Article › peer-review