Publications

I have published more than 40 peer-reviewed journal articles in theoretical nuclear physics, nuclear astrophysics and computational physics.

My work has appeared in journals including Nature Communications, Physical Review Letters, The Astrophysical Journal Letters, Physics Letters B, Physical Review C, Nuclear Physics A and Computer Physics Communications.

Selected recent publications

Universal relation between dipole polarizability of finite nuclei and neutron-star compactness

P. S. Koliogiannis, T. Ghosh, E. Yüksel and N. Paar
Physical Review C, 2026

This work investigates universal relationships connecting the electromagnetic response of finite nuclei with the compactness of neutron stars.

Dipole polarizability of finite nuclei as a probe of neutron stars

P. S. Koliogiannis, E. Yüksel, T. Ghosh and N. Paar
The Astrophysical Journal Letters, 2026

This study examines how dipole polarizability measurements in nuclei can provide information about neutron-star structure.

Hot pygmy dipole strength in nickel isotopes

A. Kaur, E. Yüksel and N. Paar
Physical Review C, 2025

This letter investigates the evolution of low-energy electric dipole strength in nickel nuclei at finite temperature.

Electric and magnetic gamma-ray strength functions at finite temperature

A. Kaur, E. Yüksel and N. Paar
Physical Review C, 2025

This work provides a microscopic description of electric and magnetic gamma-ray strength functions in hot nuclei.

Alpha-particle condensation in diluted oxygen-16 at finite temperature

M. Davies, E. Yüksel, J.-P. Ebran, E. Khan and P. Stevenson
Physical Review C, 2025
Editors’ Suggestion

This student-led work explores cluster formation and alpha-particle condensation in diluted nuclear matter at finite temperature.

Increasing octupole collectivity across the Z = 64 isotopic chain

S. Pascu, E. Yüksel and collaborators
Physical Review Letters, 2025

This study provides evidence for enhanced octupole collectivity and pear-shaped nuclear dynamics in gadolinium nuclei.

Nuclear mass predictions using machine-learning models

E. Yüksel, D. Soydaner and H. Bahtiyar
Physical Review C, 2024
Editors’ Suggestion

This work applies machine-learning models to nuclear mass prediction and examines their performance in regions beyond available measurements.

Expanding the limits of nuclear stability at finite temperature

A. Ravlić, E. Yüksel, T. Nikšić and N. Paar
Nature Communications, 2023

This study demonstrates that the boundaries of nuclear stability can change under the extreme temperatures found in astrophysical environments.