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The complex nature of the nuclear forces generates a broad range and diversity of observational phenomena. Heavy nuclei, though orders of magnitude less massive than neutron stars, are governed by the same underlying physics, which is…

Nuclear Experiment · Physics 2019-09-04 M. Thiel , C. Sfienti , J. Piekarewicz , C. J. Horowitz , M. Vanderhaeghen

Theoretical study of systematics of neutron scattering cross sections on various materials for neutron energies up to several hundred MeV are of practical importance. In this paper, we analysed various cross sections of neutron-nucleus…

Nuclear Theory · Physics 2007-05-23 S. V. Surya Narayan , Rajesh S. Gowda , S. Ganesan

Fragments productions in spallation reactions are key infrastructure data for various applications. Based on the empirical parameterizations {\sc spacs}, a Bayesian-neural-network (BNN) approach is established to predict the fragment cross…

Nuclear Theory · Physics 2020-12-30 Chun-Wang Ma , Dan Peng , Hui-Ling Wei , Yu-Ting Wang , Jie Pu

It has been argued that the iso-scalar and iso-vector mesons play significant roles in nuclear matter and neutron star structures. We improve the extended linear sigma model with baryons, proposed in our previous work, by introducing the…

Nuclear Theory · Physics 2025-10-07 Yao Ma , Yong-Liang Ma

We analyze the neutron skin thickness in finite nuclei with the droplet model and effective nuclear interactions. The ratio of the bulk symmetry energy J to the so-called surface stiffness coefficient Q has in the droplet model a prominent…

Nuclear Theory · Physics 2009-09-01 M. Warda , X. Vinas , X. Roca-Maza , M. Centelles

The overlap of the nucleons in nuclei plays an important role in understanding the nuclear dependence of deep inelastic scattering data. It is shown that the nuclear modification of the higher twist scale can be essentially determined by…

Nuclear Theory · Physics 2009-11-10 P. Castorina

Computing atomic-scale properties of chemically disordered materials requires an efficient exploration of their vast configuration space. Traditional approaches such as Monte Carlo or Special Quasirandom Structures either entail sampling an…

Materials Science · Physics 2026-03-17 Maciej J. Karcz , Luca Messina , Eiji Kawasaki , Emeric Bourasseau

We propose new Transverse Momentum Dependent (TMD) gluon densities in nuclei. Our method is based on a combination of the color dipole scattering formalism, within which we interpret the nuclear deep inelastic structure functions…

High Energy Physics - Phenomenology · Physics 2025-05-06 A. V. Lipatov , G. I. Lykasov , M. A. Malyshev

Theoretical and experimental studies of hot and/or dense matter, such as is created in high-energy heavy-ion collisions, and encountered in compact objects in astrophysics, constitute one of the most active frontiers in nuclear physics. In…

Nuclear Theory · Physics 2007-05-23 G. Q. Li

The production of light hypernuclei in relativistic heavy-ion collisions provides a unique opportunity to probe hyperon--nucleon interactions and possible three-body forces, which are central to the resolution of the hyperon puzzle in…

Nuclear Theory · Physics 2026-03-17 Yue Hang Leung , Yingjie Zhou , Norbert Herrmann

We present a novel deep learning (DL) approach to produce highly accurate predictions of macroscopic physical properties of solid solution binary alloys and magnetic systems. The major idea is to make use of the correlations between…

Computational Physics · Physics 2021-01-29 Massimiliano Lupo Pasini , Ying Wai Li , Junqi Yin , Jiaxin Zhang , Kipton Barros , Markus Eisenbach

Eighty years after its experimental discovery, a microscopic description of induced nuclear fission based solely on the interactions between neutrons and protons and quantum many-body methods still poses formidable challenges. The goal of…

Nuclear Theory · Physics 2015-06-17 N. Schunck , D. Duke , H. Carr , A. Knoll

The General Thermodynamic Theory of Sintering, formulated by the author in 1998 is given. This theory is applied to the problem of swelling of materials under conditions of radiation. Driving forces, caused by the presence of the evolution…

Materials Science · Physics 2007-12-18 Yuri Kornyushin

We propose an innovative method for proton radiography based on nuclear emulsion film detectors, a technique in which images are obtained by measuring the position and the residual range of protons passing through the patient's body. For…

Instrumentation and Detectors · Physics 2014-11-20 S. Braccini , A. Ereditato , I. Kreslo , U. Moser , C. Pistillo , S. Studer , P. Scampoli , A. Coray , E. Pedroni

The development of compact neutron sources for applications is extensive and features many approaches. Let alone ion-based approaches, several projects with different parameters exist. This article focuses on ion-based neutron production…

Instrumentation and Detectors · Physics 2023-07-13 Benedikt Schmitz , Stefan Scheuren

Configurational information entropy (CIE) theory was employed to determine the neutron skin thickness of neutron-rich calcium isotopes. The nuclear density distributions and fragment cross-sections in 350 MeV/u $^{40-60}$Ca + $^{9}$Be…

Nuclear Theory · Physics 2022-01-19 Chunwang Ma , Yipu Liu , Huiling Wei , Jie Pu , Kaixuan Cheng , Yuting Wang

Materials used in nuclear reactors are constantly exposed to the effects of neutron irradiation, which leads to changes in their mechanical properties. In particular, the steels employed in reactor pressure vessels experience a reduction in…

For the first time an analytic expression was obtained for the inelastic neutron scattering law with an isotropic neutron source within the gas model, considering moderating medium temperature as a parameter. The inelastic scattering law is…

The event rates for WIMP-nucleus and neutrino-nucleus scattering processes, expected to be detected in ton-scale rare-event detectors, are investigated. We focus on nuclear isotopes that correspond to the target nuclei of current and future…

Nuclear Theory · Physics 2020-09-16 R. Sahu , D. K. Papoulias , V. K. B. Kota , T. S. Kosmas

The data-driven Bayesian model averaging is a rigorous statistical approach to combining multiple models for a unified prediction. Compared with the individual model, it provides more reliable information, especially for problems involving…

Nuclear Theory · Physics 2024-01-19 Mengying Qiu , Bao-Jun Cai , Lie-Wen Chen , Cen-Xi Yuan , Zhen Zhang
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