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.

⚛️ phenomenology

Probing Saturation Effect in Heavy Meson Pair Correlation in Forward pApA Collisions

This paper investigates heavy meson pair correlations in forward proton-nucleus collisions by incorporating unified Sudakov resummation within the Color Glass Condensate framework, demonstrating good agreement with LHCb data and predicting a robust mass hierarchy in nuclear suppression that highlights the sensitivity of heavy quarks to gluon saturation effects.

Zhan Gao, Cyrille Marquet, Yu Shi, Bo-Wen Xiao2026-05-05
⚛️ nuclear theory

Relativistic BDNK MHD Evolution in a Boost-Invariant Medium and Its Impact on Dilepton Production

This paper presents a causal and stable first-order relativistic BDNK magnetohydrodynamic framework in a boost-invariant background, revealing that magnetic fields respond strongly to temperature evolution while their feedback remains subleading, ultimately leading to a suppression of the low-mass dilepton spectrum due to enhanced cooling.

Ankit Kumar Panda, Rajesh Biswas2026-05-05
⚛️ nuclear theory

Constructing Inverse Potentials from Scattering Phase Shifts using Physics-Informed Neural Networks: Application to Neutron-Alpha Scattering

This paper presents a physics-informed neural network framework that successfully reconstructs the neutron-alpha scattering potential by embedding hard structural constraints and differentiable numerical solvers, thereby accurately recovering the P3/2P_{3/2} resonance parameters and demonstrating the reliability of machine learning for nuclear inverse scattering problems.

Ayushi Awasthi Ishwar Kant Arushi Sharma M. R. Ganesh Kumar, O. S. K. S. Sastri2026-05-05
⚛️ nuclear experiments

KS0KS0\mathbf{{\textbf{K}}^{0}_{\textbf{S}}}-\mathbf{{\textbf{K}}^{0}_{\textbf{S}}} femtoscopy in Pb$-$Pb collisions at sNN=5.02\mathbf{\sqrt{\textit{s}_{\rm NN}} = 5.02} TeV at the LHC

This paper presents a one-dimensional femtoscopic analysis of KS0KS0{\rm K}^{0}_{\rm S}-{\rm K}^{0}_{\rm S} correlations in Pb$-$Pb collisions at sNN=5.02\sqrt{s_{\mathrm{NN}}} = 5.02 TeV using ALICE data, revealing source characteristics consistent with collective expansion and providing a high-energy baseline compatible with previous measurements and hydrokinetic model predictions.

ALICE Collaboration2026-05-05
⚛️ nuclear experiments

Measurement of isolated-prompt photon$-$hadron correlations in Pb$-$Pb collisions at sNN=5.02\mathbf{\sqrt{\textit{s}_{\rm NN}} = 5.02} TeV

The ALICE Collaboration reports the first measurement of isolated-prompt photon-hadron azimuthal correlations in Pb-Pb collisions at sNN=5.02\sqrt{s_{\rm NN}} = 5.02 TeV down to a photon transverse momentum of 18 GeV/c, observing a strong suppression of associated hadron yields in central collisions that is compared with theoretical models and results from other experiments.

ALICE Collaboration2026-05-05
⚛️ nuclear experiments

New Procedure for the Evaluation of Fission Product Yields: Application to the Spontaneous Fission of 252^{252}Cf

This paper presents a new evaluation procedure for independent and cumulative fission product yields in the spontaneous fission of 252^{252}Cf, utilizing a Bayesian Kalman filter to integrate experimental data with the Hauser-Feshbach Fission Fragment Decay model to produce mean values, full covariances, and consistent predictions for prompt and delayed neutron and γ\gamma-ray multiplicities.

A. E. Lovell, T. Kawano, P. Talou2026-05-05
⚛️ nuclear theory

Structure of the 8^8B and 8^8Li nuclei and the astrophysical S17(0)S_{17}(0)-factor of the 7^7Be(p,γp,\gamma)8^8B direct capture process within a three-body model

Using a three-body potential cluster model with the hyperspherical Lagrange-mesh method, this study calculates the structural properties and asymptotic normalization coefficients of 8^8B and 8^8Li nuclei to derive a precise zero-energy astrophysical S17(0)S_{17}(0)-factor of 22.492±0.01422.492 \pm 0.014 eV b for the 7^7Be(p,γp,\gamma)8^8B reaction, revealing that the spin-2 channel dominates the capture process.

E. M. Tursunov, D. S. Toshova, S. A. Turakulov2026-05-05