Dr. Tuncay Bayram

I'm a nuclear physicist. I'm interested in nuclear structure physics. Mainly, I study on nuclear models, nuclear reactions and radiation interaction with matter theoretically and experimentally.

About Me

I was born in Konya (Osmancık-Kadınhanı), Turkey . I have graduated from Konya Karatay High School. I took BS degree in Physics from Ankara University and MSc degree in Physics Education from Selçuk University. I have worked as Physics Teacher between the years 2003 - 2006 and as to be Health Physicist between the years 2006 - 2008. I have got my PhD degree in Physics from Karadeniz Technical University in 2012. During my PhD degree I had chances to take scholarship from Turkish Scientific Research Council and Turkish Higher Educational Council. I have worked at Sinop University starting from 2008 to 2017 as Research Assistant, Assistant Professor and Associate Professor. Also, I had various administrative duties at Sinop University such as Head of Department for Nuclear Energy Engineering Department, Manager of Project Coordination Unit and Farabi Exchange Office Coordinator. I was a visitor researcher at INFN-Legnaro National Laboratories (Padova, Italy) within the framework of TUBİTAK support between 2018 - 2019.

Currently, I am working at Physics Department - Karadeniz Technical University as a Full Professor.

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Research Interests

Nuclear Models

-Relativistic Mean Field Model

-Hartree-Fock-Bogoliubov Method

Nuclear Reactions

-Photonuclear

-Heavy Ion

Nuclear Spectroscopy

-Gamma Spectroscopy

Radiation Interaction with Matter

-Experimental

-Simulations

Health Physics

-Radiation Protection

-Radiation Dose

Selected Papers



  • Erenler A., Bayram T., Demirel Y., Cengiz E. and Bayrak R., "An investigation of gamma ray mass attenuation from 80.1 to 834.86 keV for fabric coating pastes used in textile sector", Nuclear Science and Techniques 31, 57, 2020.

  • Nabi J. and Bayram T., "Nuclear structure properties and decay rates of molybdenum isotopes", Astrophysics and Space Science 365, 19, 2020.

  • Bayram T., "Triaxiality in Neutron-Rich As Isotopes with Covariant Density Functional Theory", Physics of Atomic Nuclei 84, 317, 2019.

  • Bayram T. and Akkoyun S., "Determinations of 171Er half-life and some 171Tm transition energies", Nuclear Science and Techniques 29, 39, 2018.

  • Bayram T., Akkoyun S. and Şentürk Ş., "Adjustment of Non-linear Interaction Parameters for Relativistic Mean Field Approach by Using Artificial Neural Networks", Physics of Atomic Nuclei 81, 288, 2018.

  • Nabi J., Bayram T. and Majid M., "Ground-state Nuclear Properties of Neutron-rich Copper Isotopes and Lepton Capture Rates in Stellar Matter", Acta Physica Polonica B 49, 1531, 2018.

  • Bayram T., Akkoyun S., Uruk S., Dapo H., Dulger F. and Boztosun I., "Transition Energy and Half-life Determinations of Photonuclear Reaction Products of Erbium Nuclei", International Journal of Modern Physics E-Nuclear Physics 25, 1650107, 2016.

  • Bayram T., Akkoyun S. and Kara S. O., "A Study on Ground-state Energies of Nuclei by Using Neural Networks", Annals of Nuclear Energy 63, 172, 2014.

  • Akkoyun S. and Bayram T., "Estimations of Fission Barrier Heights for Ra, Ac, Rf and Db Nuclei by Neural Networks", International Journal of Modern Physics E-Nuclear Physics 23, 1450064, 2014.

  • Bayram T. and Akkoyun S., "An Analysis of E(5) Shape Phase Transitions in Cr Isotopes with Covariant Density Functional Theory", Physica Scripta 87, 2013.

  • Akkoyun S., Bayram T., Kara S. O. and Sinan A., "An Artificial Neural Network Application on Nuclear Charge Radii", Journal of Physics G - Nuclear and Particle Physics 40, 2013.

  • Bayram T. and Yilmaz A. H., "Table of Ground State Properties of Nuclei in the RMF Model", Modern Physics Letters A 28, 2013.

  • Bayram T., Akkoyun S. and Kara S. O., "α-decay Half-life Calculations of Superheavy Nuclei Using Artificial Neural Networks", 2nd International Conference on Mathematical Modeling in Physical Sciences 2013 (Prague, Czech Republic), Journal of Physics: Conference Series 490, 012105, 2014.

  • Bayram T., Yilmaz A. H., Sönmez B. and Demir M., "Radiation Dose to Technologists per Nuclear Medicine Examination and Estimation of Annual Dose", Journal of Nuclear Medicine and Technology 39, 55, 2011.

  • My Research Blog

    01 Jan 2019
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    What we can learn about nuclear structure with simple equipments cLINAC+HpGe dedector?

    The neutrons have been captured by Erbium nuclei which were received by using clinical electron linear accelerator in this study. The possibility of the neutron capture process has been observed because of emitted neutrons appearing in the experimental area. In particular, neutron capture of Er-170 nucleus has been observed. After the neutron capture of Er-170 nucleus, the unstable Er-171 has been formed and decayed into the Tm-171. By using this reaction path, some transition energies of Tm-171 obtained from the residual activity measurements and the half-life of Er-171 have been determined, and they are in agreement with adopted values in the literature.

    This study shows usefulness of the method and equipment, i.e., cLINAC, in determination of the energies and half-lives of the isotopes. And this method can be used in education and training young physicists when we do not have a nuclear reactor.

    Do you have a comment? It is welcome!


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    01 Jan 2019
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    Usage of artificial intelligence on nuclear models. Is it helpful?

    The relativistic mean field (RMF) model with a small number of adjusted parameters has been used successfully in the last thirty years for predictions of various ground-state nuclear properties of nuclei. In this model, Dirac and Klein–Gordon like equations obtained from application of variation principle on phenomenological Lagrangian density are solved iteratively for calculations of nuclear properties of nuclei. Some parameters are needed and they are fitted from experimental data. Some parameter sets for RMF model introduced to correct predictions of nuclear properties of nuclei cover nuclidic chart.

    Artificial Neural Network (ANN) method is used successfully in many field of science as in nuclear physics. ANN is known as a very powerful tool that are used when standard techniques fail to estimate the correlation between the variables. In the present study, ANN method has been employed to check its understanding capability of relations between RMF model parameters and their predictions on the ground-state binding energies of some spherical nuclei. Understanding capability of ANN method for these relations of considered nuclei has been discussed in detail. Based on this work, new non-linear parameter set for RMF model called DEFNE by us have been produced by using ANN method.

    Do you have a comment? It is welcome!


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    KTU NUCLEAR PHYSICS EVENTS

    2018

    A New Master Program (November 2018)

    Health Physics

    A new MSc program had been approved by Turkish Higher Education Council (YOK). It will be a good opportunity to find job for physicist. This program will be managed with contributions of three departments of KTU such as Department of Physics, Radiation Oncology and Nuclear Medicine. It is planned that applications will be accepted in January 2019 under the framework of KTU Institute of Health Sciences.

    2018

    Conference (12 September)

    XI. International Conference on Nuclear Structure Properties

    XI. International Conference on Nuclear Structure Properties will be held at KTU by KTU Nucler Physics Section. Details can be found on the website nucleus.ktu.edu.tr.

    2017

    Seminar - Nucleosynthesis: How and Where? (19 September, 14:00, FKA)

    Prof. Dr. Jameel-Un Nabi, GIK Institute of Engineering Sciences & Technology, Pakistan

    There will be a talk on nucleosynthesis and recent studies.

    Conferences & Workshops

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    Contact info

    Address: Karadeniz Teknik Üniversitesi, Fen Fakültesi, Fizik Bölümü, Ortahisar/Trabzon

    +90 462 377 38 22 61080, Turkey t.bayram@ktu.edu.tr t.bayram@ymail.com http://tbayram.net http://aves.ktu.edu.tr/t.bayram/