Nuclear theory sits at the fascinating intersection of particle physics and the forces that hold our universe together. This field explores how protons and neutrons bind inside atomic nuclei, seeking to understand the fundamental interactions that govern matter at its most dense and energetic levels. While the mathematics involved can be incredibly complex, the core questions are deeply human: how does the universe function at its smallest scales, and what happens when we push matter to its limits?

At Gist.Science, we make these cutting-edge discoveries accessible by processing every new preprint published in this category on arXiv. Our team transforms dense academic manuscripts into clear, plain-language summaries alongside detailed technical overviews, ensuring that both experts and curious readers can grasp the latest breakthroughs without getting lost in the jargon. Below are the latest papers in nuclear theory, distilled and ready for you to explore.

Towards better nuclear charge radii

This paper outlines a modern, transparent, and methodologically robust effort to improve the precision and reliability of nuclear charge radii determinations by integrating complementary experimental techniques with advanced theoretical frameworks.

István Angeli, Dimiter L. Balabanski, Paraskevi Dimitriou, Dipti, Kieran T. Flanagan, Georgi Georgiev, Mikhail Gorchtein, Paul Gùeye, Fabian Heiße, Andreas Knecht, Kei Minamisono, Wilfried Nörtershäu (…)2026-04-13⚛️ nucl-ex

Shape transitions and ground-state properties of tungsten isotopes in covariant density functional theory

This study employs covariant density functional theory to investigate the structural evolution of even-even tungsten isotopes from 154^{154}W to 264^{264}W, revealing dynamic shape transitions, identifying a potential subshell closure at N=118N=118, predicting a neutron drip line at N=184N=184, and validating these findings against experimental data and other theoretical models to enhance understanding of nuclear structure and r-process nucleosynthesis.

Usuf Rahaman2026-04-13⚛️ nucl-th

NucleiML: A machine learning framework of ground-state properties of finite nuclei for accelerated Bayesian exploration

The paper introduces NucleiML, a machine learning framework that accelerates Bayesian exploration of nuclear equations of state by providing a 104\sim 10^4-fold speedup in calculating finite nuclei ground-state properties while maintaining reasonable accuracy, thereby enabling the efficient integration of finite nuclei and neutron star constraints.

Anagh Venneti, Chiranjib Mondal, Sk Md Adil Imam, Sarmistha Banik, Bijay K. Agrawal2026-04-10⚛️ nucl-th

Probing the Dependence of Partonic Energy Loss on the Initial Energy Density of the Quark Gluon Plasma

This paper utilizes a phenomenological spectrum shift model to demonstrate a striking correlation between average partonic transverse momentum loss and the initial energy density of the Quark-Gluon Plasma across a wide range of collision energies, while also successfully predicting high-pTp_{\mathrm{T}} hadron elliptic flow by coupling the model to geometric event shape estimates.

Ian Gill, Ryan J. Hamilton, Helen Caines2026-04-10⚛️ nucl-ex

Systematics of characteristics of pygmy dipole resonances in medium-heavy and heavy atomic nuclei with neutron excess

This paper investigates the systematics of pygmy dipole resonances in neutron-rich medium-heavy and heavy nuclei by applying a modified macroscopic Isacker-Nagarajan-Warner model that links resonance energy to neutron skin thickness, demonstrating good agreement with experimental and microscopic data while suggesting that the required neutron-proton interaction strength challenges the notion of PDR as a purely collective state.

V. A. Plujko, O. M. Gorbachenko, N. O. Romanovskyi2026-04-10⚛️ nucl-th