activity
20092026
most citedSystematics on ground-state energies of nuclei within the neural networks

79 citations · 266 across the 27 of their papers we have counts for

collaborators

28 papers

nucl-th2026

Systematic VQE Benchmarking of the Deuteron, Triton, and Helium-3 within Lattice Pionless Effective Field Theory

Pınar Çifci, Serkan Akkoyun, Lloyd Ronde

We investigate the performance of quantum algorithms for light nuclear systems by studying the deuteron (2H), triton (3H), and helium-3 (3He) nuclei within a lattice formulation of…

nucl-th2025

From Classical to Quantum Machine Learning: Different Approaches in Fission Barrier Height Estimation

Serkan Akkoyun, Cafer Mert Yeşilkanat, Paul Stevenson

The fission barrier energy is a fundamental property of nuclear structure that governs the stability of nuclei against fission, directly affecting their spontaneous fission half-li…

physics.ed-ph2025

Schematic Representation Method for Quantum Circuits: An Intuitive Approach to Quantum Gate Effects

Serkan Akkoyun

In quantum circuits, qubits and the quantum gates acting on them have traditionally been analysed using matrix algebra and Dirac notation. While powerful, these can be unintuitive…

hep-ph2024

A search for leptonic photon Z_l at all three CLIC energy stages by using artificial neural networks (ANN)

S. O. Kara, S. Akkoyun

In this work, the possible dynamics of the massive leptonic photon \(Z_{l}\) are reconsidered via the process \(e^{+}e^{-} \ rightarrow μ^{+}μ^{-}\) at Compact Linear Collider (CLI…

nucl-th2022★ 19 cited

Predicting Beta Decay Energy with Machine Learning

Jose M. Munoz, Serkan Akkoyun, Zayda P. Reyes +1

represents one of the most important factors characterizing unstable nuclei, as it can lead to a better understanding of nuclei behavior and the origin of heavy atoms. Recent…

nucl-th2022

Neutron Single-particle States in 101Sn by Polynomial Fits and Shell Model Calculations for Light Sn Isotopes

Abderrahmane Yakhelef, Serkan Akkoyun

One of the main ingredients in nuclear structure studies using shell model are the single-particle energy (spe). In order to obtain these values accurately, experimental data is ne…

nucl-th2021★ 6 cited

Artificial Intelligence Supported Shell-Model Calculations for Light Sn Isotopes

Serkan Akkoyun, Abderrahmane Yakhelef

The region around the doubly magic nuclide is very interesting for nuclear physics studies in terms of structure, reaction and nuclear astrophysics. The main ingredients…

nucl-th2020

Plasma shielding effects on nuclear spectra: Ne application

Serkan Akkoyun, M. Kemal Bahar

In this study, for the first time, in particular to astrophysics and fusion studies, how atomic nuclei embedded in the plasma environment are affected by plasma are systematically…

nucl-th2020

Investigation of Nuclear Structures of Ne Isotopes by Nuclear Shell Model

Serkan Akkoyun, Tuncay Bayram

One of the common methods used to investigate the nuclear structures of atomic nuclei is the nuclear shell model. Similar to the placement of atomic electrons into orbits, in the n…

nucl-th2020

Investigation of Nuclear Structures of Self-conjugate Zn, Ge, Se, Kr, Sr Nuclei

Serkan Akkoyun, Tuncay Bayram

Nuclear structures of the atomic nuclei can be theoretically investigated by using nuclear shell model. Generally, a doubly closed-shell nucleus has been considered as inert core a…

nucl-th2020

Determination of Photonuclear Reaction Cross-Sections on stable p-shell Nuclei by Using Deep Neural Networks

Serkan Akkoyun, Hüseyin Kaya, Abdulkadir Şeker +1

The photonuclear reactions which is induced by high-energetic photon are one of the important type of reactions in the nuclear structure studies. In this reaction, a target materia…

nucl-th2020

Estimations of Cross-Sections for Photonuclear Reaction on Calcium Isotopes by Artificial Neural Networks

S. Akkoyun, H. Kaya

The nuclear reaction induced by photon is one of the important tools in the investigation of atomic nuclei. In the reaction, a target material is bombarded by photons with high-ene…

nucl-th2020★ 18 cited

First Excited 2+ Energy State Estimations of Even-even Nuclei by Using Artificial Neural Networks

S. Akkoyun, H. Kaya, Y. Torun

The first excited 2+ energy states of nuclei give many substantial information related to the nuclear structure. Including these levels, all excited states of nuclei are shown regu…

nucl-th2020★ 8 cited

Improvement Studies of an Effective Interaction for N=Z sd-shell Nuclei by Neural Networks

Serkan Akkoyun, Nadjet Laouet, Fatima Benrachi

The nuclear shell model is one of the successful models in theoretical understanding of nuclear structure. If a convenient effective interaction can be found between nucleons, vari…

nucl-th2019

Shell Model Calculations for Proton-rich Zn Isotopes via New Generated Effective Interaction by Artificial Neural Networks

Serkan Akkoyun

In this study, the artificial neural network method has been employed for the generation of the new two-body matrix elements which is used for pfg shell nuclei. For this purpose, j…

nucl-ex2019★ 44 cited

Estimation of fusion-evaporation cross sections by artificial neural networks

Serkan Akkoyun

Accurate determination of fusion-evaporation reaction cross section is important in experimental nuclear physics studies. In this study, by using artificial neural network (ANN) me…

nucl-th2017

Ground-state properties of some N=Z medium mass heavy nuclei

Serkan Akkoyun, Tuncay Bayram, Şevki Şentürk

The ground-state properties of 64Ge, 68Se, 72Kr and 76Sr (N=Z) nuclei have been investigated by using Hartree-Fock-Bogolibov (HFB)method with Sly4 Skyrme forces and Relativistic Me…

nucl-th2016

Surface energy coefficient determination in global mass formula from fission barrier energy

Serkan Akkoyun, Tuncay Bayram

Semi-empirical mass formula of the atomic nucleus describe binding energies of the nuclei. In the simple form of this formula, there are five terms related to the properties of the…

physics.ed-ph2015★ 2 cited

Teaching Quantum Mechanical Commutation Relations via an Optical Experiment

A. Alper Billur, Serkan Akkoyun, Murat Bursal

The quantum mechanical commutation relations, which are directly related to the Heisenberg uncertainty principle, have a crucial importance for understanding the quantum mechanics…

nucl-ex2014★ 4 cited

Photonuclear Reaction Cross Sections for Gallium Isotopes

Serkan Akkoyun, Tuncay Bayram

The photon induced reactions which are named as photonuclear reactions have a great importance in many field of nuclear, radiation physics and related fields. Since we have planned…

nucl-ex2013★ 4 cited

Identification and rejection of scattered neutrons in AGATA

M. Şenyiğit, A. Ataç, S. Akkoyun +22

Gamma rays and neutrons, emitted following spontaneous fission of 252Cf, were measured in an AGATA experiment performed at INFN Laboratori Nazionali di Legnaro in Italy. The setup…

physics.ins-det2013★ 1 cited

Improvement studies on neutron-gamma separation in HPGe detectors by using neural networks

Serkan Akkoyun, Tuncay Bayram, S. Okan Kara

The neutrons emitted in heavy-ion fusion-evaporation (HIFE) reactions together with the gamma-rays cause unwanted backgrounds in gamma-ray spectra. Especially in the nuclear reacti…

nucl-th2013★ 79 cited

Systematics on ground-state energies of nuclei within the neural networks

Tuncay Bayram, Serkan Akkoyun, S. Okan Kara

One of the fundamental ground-state properties of nuclei is binding energy. In this study, we have employed artificial neural networks (ANNs) to obtain binding energies based on th…

nucl-th2012★ 14 cited

Empirical physical formula for potential energy curves of 38-66Ti isotopes by using neural networks

S. Akkoyun, T. Bayram, S. O. Kara +1

Nuclear shape transition has been actively studied in the past decade. In particular, the understanding of this phenomenon from a microscopic point of view is of great importance.…