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Journals / Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi / 2026 / Cilt: 12 Sayı: 2

(p, g), (n, g) ve (a,g) Reaction Cross Section Calculations and Optimization for the Isotopes of 58,60,61,62,63,64Ni using Artificial Neural Networks

Biçimlendirmeyi Yapay Sinir Ağları Kullanarak 58,60,61,62,63,64Ni İzotopları için (p, ), (n, ) ve (,) Reaksiyon Tesir Kesiti Hesaplamaları ve Optimizasyonu

Veli Çapalı(MÜHENDİSLİK FAKÜLTESİ)0000-0002-9045-0210
Pages
1095–1102
Publication Date
2019-08-31
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results show the effectiveness and applicability of this new technique in the calculation of some nuclear reactions.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study; discusses the using artificial neural networks for approximation of data such as the nuclear reaction cross sections data.
📊
Key Findings & Data:The rate of approximation of the fitting criteria is determined by using the experimental value, evaluated data and theoretical nuclear reaction cross section model’s calculations.
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Conclusion & Impact:The results show the effectiveness and applicability of this new technique in the calculation of some nuclear reactions.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Yapay sinir ağları · Nükleer reaksiyonlar · Reaksiyon tesir kesiti hesaplamaları

Abstract

In this study; discusses the using artificial neural networks for approximation of data such as the nuclear reaction cross sections data. The rate of approximation of the fitting criteria is determined by using the experimental value, evaluated data and theoretical nuclear reaction cross section model’s calculations. The (n, g ), (p, g ) and ( a , g ) reactions cross-section for 58,60,61,62,63,64 Ni nuclei have been calculated from data obtained using neural networks. The results show the effectiveness and applicability of this new technique in the calculation of some nuclear reactions. In this study; discusses the using artificial neural networks for approximation of data such as the nuclear reaction cross sections data. The rate of approximation of the fitting criteria is determined by using the experimental value, evaluated data and theoretical nuclear reaction cross section model’s calculations. The (n, g), (p, g) and (a, g) reactions cross-section for 58,60,61,62,63,64Ni nuclei have been calculated from data obtained using neural networks. The results show the effectiveness and applicability of this new technique in the calculation of some nuclear reactions.

Özet

Bu çalışmada; nükleer reaksiyon tesir kesiti verilerinin hesaplanması için yapay sinir ağlarının kullanımı incelenmiştir. Uygulama kriterleri yaklaştırma oranı, deneysel veriler, değerlendirilmiş veriler ve teorik nükleer reaksiyon modelleri ile gerçekleştirilen hesaplama değerleri kullanılarak belirlenmiştir. 58,60,61,62,63,64 Ni izotopları için (n, g ), (p, g ) ve ( a , g ) reaksiyon tesir kesitleri yapay sinir ağları kullanılarak hesaplanmıştır. Sonuçlar, bu yeni tekniğin bazı nükleer reaksiyonların hesaplanmasındaki etkinliğini ve uygulanabilirliğini göstermektedir. Gelişen teknolojiye ve sanayileşmeye bağlı olarak enerjiye duyulan ihtiyacın giderilmesi yönünde nükleer enerjiye ve nükleer enerji reaktörlerine yönelim olmuştur. Nükleer enerjiye olan bu yönelim ve ilgi, nükleer teknolojisinde ve fisyon reaksiyonu temelinde yeni reaktör sistemlerinin tasarlanmasına yol açmıştır

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Cite This Article

Çapalı, V. (2019). (p, g), (n, g) ve (a,g) Reaction Cross Section Calculations and Optimization for the Isotopes of 58,60,61,62,63,64Ni using Artificial Neural Networks. Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Cilt: 12 Sayı: 2, 1095–1102. https://doi.org/10.18185/erzifbed.561818

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References (11)

  1. Aydin, A., Pekdogan, H., Kaplan, A., Sarpün, İ. H., Tel, E., Demir, B. 2015. “Comparison of Level Density Models for the 60,61,62,64Ni(p,n) Reactions of Structural Fusion Material Nickel from Threshold to 30 MeV”, J. Fusion Energ. 34 (5), 1105-1108.
  2. Beale, M. H., Hagan, M. T., Demuth, H. B., 2013. “Neural Network ToolboxTM User's Guide”.
  3. Demir B., Kaplan A., Çapalı V., Özdoğan H., Sarpün İ. H., Aydın A. and Tel E. 2015. “Neutron Production Cross–Section and Geant4 Calculations of the Structural Fusion Material 59Co for (a,xn) and (g,xn) Reactions”, J. Fusion Energ. 34 (3), 636-641.
  4. Greenwood, L. R. 1983. “A New Calculation Of Thermal Neutron Damage And Helium Production in Nickel”, Journal of Nuclear Materials, 115, 137-142.
  5. Herman, M., Capote, R., Carlson, B.V., Oblozinsky, P., Sin, M., Trkov, A., Wienke, H., Zerkin, V. 2007. "EMPIRE: Nuclear Reaction Model Code System for Data Evaluation", Nucl. Data Sheets, 108, 2655-2715.
  6. Koning, A. J., Hilaire, S., Goriely S. 2017. “TALYS–1.6 A Nuclear Reaction Program, User Manual”, Nuclear Research and Consultancy Group (NRG), Netherlands.
  7. Mashad, M.EL., Bakry, M.Y.EL., Tantawy M., Habashy, D.M. 2010. “Artificial Neural Networks For Hadron Hadron Cross-Sections” Tenth Radiation Physics Protection Conference, 269, Cairo/Egypt.
  8. NRDC-EXFOR (Experimental Nuclear Reaction Data File), Database Version of Mayıs 5, 2019. Brookhaven National Laboratory National Nuclear Data Centre. http://www.nndc.bnl.gov/nndc/exfor/. Son Erişim Tarihi: 05.04.2019.
  9. Özdoğan, H., Şekerci, M., Kaplan, A. 2019. “Investigation of gamma strength functions and level density models effects on photon induced reaction cross–section calculations for the fusion structural materials 46,50Ti, 51V, 58Ni and 63Cu”, Appl. Radiat. Isotopes 143, 6-10.
  10. Rochman, D., Koning, A. J., Sublet, J. Ch., Fleming, M., et al. 2016. "The TENDL library: hope, reality and future", proceedings of the International Conference on Nuclear Data for Science and Technology, September 11-16, 2016, Bruges, Belgium.
  11. Sahan, M., Tel, E., Sahan, H., Kara, A., Aydin, A., Kaplan, A., Sarpun I. H., Demir, B., Akca, S., Yildiz, E. 2015. “Calculations of Double-Differential Neutron Emission Cross Sections for 9Be Target Nucleus at 14.2 MeV Neutron Energy”, J. Fusion Energ. 34 (3), 493-499.