Estimation of proton-boron reaction cross-sections by neural networks


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Authors

  • Serkan Akkoyun Sivas Cumhuriyet University

DOI:

https://doi.org/10.59287/icaens.967

Keywords:

Nuclear Reaction, Cross-Section, Machine Learning

Abstract

The proton-boron fusion reaction is one of the interesting reactions in nuclear energy production. The fact that neutrons and radioactive products do not come out as a result of the reaction makes these reactions special. However, the realization of this reaction is very difficult due to the low reactivity of the plasma and high radiation losses at temperatures achievable in today's fusion devices. Therefore, it is important to determine the cross-sections of these reactions. In our study, we obtained the cross-sections of proton-boron fusion reactions using the machine learning methods after performing machine learning with the limited data available in the literature.

Author Biography

Serkan Akkoyun, Sivas Cumhuriyet University

Department of Physics,  Sivas, Türkiye

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Published

2023-07-19

How to Cite

Akkoyun, S. (2023). Estimation of proton-boron reaction cross-sections by neural networks. International Conference on Applied Engineering and Natural Sciences, 1(1), 71–73. https://doi.org/10.59287/icaens.967