Machine learning predictions for cross-sections of 43, 44Sc radioisotope production by alpha-induced reactions on Ca target
Abstract 43, 44 Sc radioisotopes are an alternative to 18 F in positron emission tomography.
43, 44 Sc radioisotopes, which can be generated at low costs by irradiating inexpensive …
43, 44 Sc radioisotopes, which can be generated at low costs by irradiating inexpensive …
Predicting Nuclear Reaction Cross-Sections Using XGBoost and Leave-One-Out Cross-Validation
Accurately predicting nuclear reaction cross-sections is crucial for advancing various fields,
including nuclear medicine, energy production, and materials science. This study aims to …
including nuclear medicine, energy production, and materials science. This study aims to …
Studying differential cross section for elastic proton scattering by a tensor model
H Wang, J Huang, J Su - Progress in Nuclear Energy, 2023 - Elsevier
Previous studies have shown the reliability of the Bayesian Gaussian CANDECOMP/
PARAFAC tensor decomposition (BGCP) algorithm in predicting the independent fission …
PARAFAC tensor decomposition (BGCP) algorithm in predicting the independent fission …
Precision in medical isotope production: Nuclear model calculations using artificial neural networks
T Siddik - Applied Radiation and Isotopes, 2024 - Elsevier
In this groundbreaking study, artificial neural networks (ANNs) are employed to predict the
production cross-sections of crucial radioisotopes, namely 18 O, 209 Bi, 232 Th, and 68 Zn …
production cross-sections of crucial radioisotopes, namely 18 O, 209 Bi, 232 Th, and 68 Zn …
Evaluation of Neutron Cross-Section Data Using Gaussian Mixture Model and Digital Filter
For the accurate estimation of neutron cross-section data, evaluation of nuclear data is
mandatory to fulfill the need of nuclear science and technology. In this work, the evaluation …
mandatory to fulfill the need of nuclear science and technology. In this work, the evaluation …
Predictions of α-Decay Half-Lives for Neutron-Deficient Nuclei with the Aid of Machine Learning
AA Saeed - 2021 - search.proquest.com
The α-decay half-lives for all α emitters in the NUBASE2020 database within the range of
52≤ Z≤ 118 have been studied by employing Coulomb and proximity potential model …
52≤ Z≤ 118 have been studied by employing Coulomb and proximity potential model …
[PDF][PDF] Machine Learning approach for the evaluation of 𝑻𝒉 𝟐𝟑𝟐 (𝒏, 𝟐𝒏) 𝑻𝒉 𝟐𝟑𝟏 cross-section data using regression models
SM Shree, M Balasubramaniam, S Ganesan - inspirehep.net
Nuclear energy is a viable part of energy mix in India. Thorium fuel cycles are part of
Bhabha's 3 stage program in India [1]. For the design of thorium-based reactors, access to …
Bhabha's 3 stage program in India [1]. For the design of thorium-based reactors, access to …