| A study on ground-state energies of nuclei by using neural networks T Bayram, S Akkoyun, SO Kara Annals of Nuclear Energy 63, 172-175, 2014 | 45 | 2014 |
| An artificial neural network application on nuclear charge radii S Akkoyun, T Bayram, SO Kara, A Sinan Journal of Physics G: Nuclear and Particle Physics 40 (5), 055106, 2013 | 36 | 2013 |
| Radiation dose to technologists per nuclear medicine examination and estimation of annual dose T Bayram, AH Yilmaz, M Demir, B Sonmez Journal of nuclear medicine technology 39 (1), 55-59, 2011 | 36 | 2011 |
| New parameters for nuclear charge radius formulas T Bayram, S Akkoyun, SO Kara, A Sinan Acta Physica Polonica B, 2013 | 28 | 2013 |
| Estimations of beta-decay energies through the nuclidic chart by using neural network S Akkoyun, T Bayram, T Turker radiation Physics and Chemistry 96, 186-189, 2014 | 17 | 2014 |
| Table of ground state properties of nuclei in the RMF Model T Bayram, AH Yilmaz Modern Physics Letters A 28 (16), 1350068, 2013 | 16 | 2013 |
| A Detailed Investigation on the Ground-state Nuclear Properties of Even-even Mo Isotopes by Using the Relativistic Mean Field Approach AH Yilmaz, T Bayram Journal of the Korean Physical Society 59 (6), 3329-3336, 2011 | 15 | 2011 |
| Estimations of fission barrier heights for Ra, Ac, Rf and Db nuclei by neural networks S Akkoyun, T Bayram International Journal of Modern Physics E 23 (10), 1450064, 2014 | 11 | 2014 |
| AN INVESTIGATION ON SHAPE EVOLUTION OF Ti ISOTOPES WITH HARTREE–FOCK–BOGOLIUBOV THEORY T Bayram Modern Physics Letters A 27 (28), 1250162, 2012 | 10 | 2012 |
| An approach to adjustment of relativistic mean field model parameters T Bayram, S Akkoyun EPJ Web of Conferences 146, 12033, 2017 | 9 | 2017 |
| Energy level and half-life determinations from photonuclear reaction on Ga target S Akkoyun, T Bayram, F Dulger, H Đapo, I Boztosun International Journal of Modern Physics E 25 (08), 1650045, 2016 | 9 | 2016 |
| Adjustment of non-linear interaction parameters for relativistic mean field approach by using artificial neural networks T Bayram, S Akkoyun, Ş Şentürk Physics of Atomic Nuclei 81 (3), 288-295, 2018 | 7 | 2018 |
| Shape of Te isotopes in mean-field formalism T Bayram, AH Yilmaz Pramana 83 (6), 975-983, 2014 | 7 | 2014 |
| An analysis of E (5) shape phase transitions in Cr isotopes with covariant density functional theory T Bayram, S Akkoyun Physica Scripta 87 (6), 065201, 2013 | 7 | 2013 |
| Transition energy and half-life determinations of photonuclear reaction products of erbium nuclei T Bayram, S Akkoyun, S Uruk, H Dapo, F Dulger, I Boztosun International Journal of Modern Physics E 25 (12), 1650107, 2016 | 6 | 2016 |
| Energy levels and half-lives of gallium isotopes obtained by photo-nuclear reaction F Dulger, S Akkoyun, T Bayram, H Dapo, I Boztosun Journal of Physics: Conference Series 590 (1), 012051, 2015 | 6 | 2015 |
| Consistent empirical physical formulas for potential energy curves of 38–66 Ti isotopes by using neural networks S Akkoyun, T Bayram, SO Kara, N Yildiz Physics of Particles and Nuclei Letters 10 (6), 528-534, 2013 | 6 | 2013 |
| α-decay half-life calculations of superheavy nuclei using artificial neural networks T Bayram, S Akkoyun, SO Kara Journal of Physics: Conference Series 490 (1), 012105, 2014 | 5 | 2014 |
| Ground-state nuclear properties of some rare earth nuclei in relativistic mean field theory AH Yilmaz, T Bayram, M Demirchi, B Engin Fizika (Baku) 16 (2), 544-546, 2010 | 5 | 2010 |
| Estimations of Radiation Yields for Electrons in Various Absorbing Materials S Akkoyun, T BAYRAM, N YILDIZ Cumhuriyet Üniversitesi Fen-Edebiyat Fakültesi Fen Bilimleri Dergisi 37, 59-65, 2016 | 4 | 2016 |
Serkan AkkoyunFaculty of Science, Sivas Cumhuriyet UniversityVerified email at cumhuriyet.edu.tr
