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Nuclear Theory·nucl-th

Wednesday·March 11, 2026

17 papers—3 primary·14 cross-listed

All17Primary3Cross-lists14
  1. 01

    [Submitted on 10 Mar 2026]

    Effects of shape coexistence and configuration mixing on low-lying states in tellurium isotopes

    Kosuke Nomura

    Low-energy quadrupole collective states in even-even tellurium (Te) isotopes are studied using the interacting boson model with configuration mixing. The corresponding Hamiltonian is determined by means of the microscopic nuclear structure calculations within the self-consistent mean-field method employing a given energy density functional and pairing interaction. Calculated low-energy levels for nonyrast states show a parabolic behavior characteristic of the shape-coexisting structure. The intruder prolate-shape configuration is shown to mix strongly with the normal oblate-shape configuration, and play an important role in determining the low-lying structure in the Te isotopes near the middle of the neutron major shell closures.

    Comments:
    17 pages, 11 figures, 3 tables
    Subjects:
    Nuclear Theory (nucl-th); Nuclear Experiment (nucl-ex)
    arXiv:
    2603.09227 [pdf]
    PRC(2026)·1 citation
  2. 02

    [Submitted on 10 Mar 2026]

    Microscopic Investigation of Fusion and Quasifission Dynamics

    Liang Li · Xiang-Xiang Sun · Lu Guo

    We introduce the application of Time-Dependent Hartree-Fock (TDHF) theory to two key aspects of heavy-ion reaction dynamics for producing superheavy elements: fusion and quasi-fission (QF). For fusion reactions Ca+U, the capture cross sections, fusion probabilities, and evaporation-residue cross sections are calculated using the inputs from TDHF simulations, and the results are found to be in reasonable agreement with available experimental data. For the QF process of Ca+Bk, we show the distribution of the fragments and investigate the impact of the tensor force, significantly enhancing the role of spherical shell effects.

    Subjects:
    Nuclear Theory (nucl-th)
    arXiv:
    2603.09360 [pdf]
    EPJ Web Conf.(2026)·0 citations
  3. 03

    [Submitted on 10 Mar 2026]

    Physics-structured cooperative neural network for baseline-free nuclear mass modeling

    Peiwen Zai · Wei Cheng · Feng-Shou Zhang

    Machine learning approaches can improve nuclear mass modelling, but the most accurate strategies often depend on a theoretical mass baseline or hand-crafted physics features. We test whether a modular architecture encoding selected nuclear-structure priors improves baseline-free direct prediction and yields informative branch diagnostics. The Cooperative Neural Network (CoNN) implements this approach through four form-constrained branches: a smooth macroscopic network, discrete embeddings, a two-dimensional regional grid, and a parity-aware network. It extracts complementary patterns from (Z, N) through these branches and sums their outputs to predict binding energies without a theoretical mass-model baseline. Thus, the model retains physics priors while reducing its reliance on engineered input features. On AME2020, CoNN reaches a root-mean-square deviation (RMSD) of 0.269 MeV for 3558 nuclei, compared with 0.836 MeV for a parameter-matched unstructured MLP. It also gives RMSDs of 0.419 MeV on a held-out interpolation subset and 0.728 MeV on 122 nuclei newly measured since AME2016. The learned branch outputs show recognizable physical patterns, including embedding shell-kink signatures at major magic numbers and odd-even staggering along isotopic chains. These results identify architecture-level priors as a practical route to baseline-free mass prediction, with learned components that help diagnose both nuclear-structure patterns and extrapolation limits.

    Comments:
    Substantially revised version; 12 pages, 9 figures, 4 tables. Revised title; expanded methodology, analyses, and model diagnostics
    Subjects:
    Nuclear Theory (nucl-th)
    arXiv:
    2603.09747 [pdf]
    1 citation

Affiliations

first authorsco-authorsvia INSPIRE