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    日本原子能研究开发机构

    Japan Atomic Energy Agency
    EST. 2005
    1.3万论文总数
    16.9万引用总数

    .

    论文量&引用量时间轴

    机构学者

    论文(10000)

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    1Lattice Strain During Pearlite Transformation in Fe-C Alloy Evaluated Via In-Situ Neutron Diffraction
    Kexin Liu,Yanxu Wang,Yo Tomota,Wu Gong,Goro Miyamoto,Stefanus Harjo,Bing Li

    Pearlite growth in steels is described by diffusion models, yet predicted rates are lower than experiments. The role of internal strain remains unclear due to limited direct experimental evidence. Here, in-situ neutron diffraction was used to investigate phase-specific lattice-strain evolution during the isothermal pearlitic transformation of Fe-0.8C steel at 973 and 953 K. Independently determined stress-free reference lattice parameters were adopted. At 973 K, austenite exhibited tensile phase strain, whereas ferrite and cementite showed compressive phase strains, consistent with the constrained expansion of pearlite within the surrounding austenite. Larger lattice strain magnitudes were observed at 953 K, in agreement with the greater volume expansion measured by dilatometry. The FWHM values of austenite and ferrite decreased slightly during transformation, indicating a reduction in the volume-averaged heterogeneous strain. These data provide direct evidence of strain partitioning during pearlite transformation, refining transformation models and microstructure simulations.

    2027SCRIPTA MATERIALIA(2027)
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    2Developing Correlation for Prediction of Departure from Nucleate Boiling Heat Flux in Subcooled Flow Boiling Using Artificial Neural Network-Aided Framework
    Thanh-Binh Nguyen,Yoshiyasu Hirose, Akira Satou,Satoshi Abe,Yasuteru Sibamoto

    Departure from nucleate boiling (DNB) in subcooled flow boiling leads to an abrupt rise in the heat transfer surface temperature within a short time. In light water reactors, knowledge of DNB heat flux is essential to prevent the catastrophic failure of heating elements. However, accurately predicting DNB heat flux remains challenging due to the underlying physical complexities. Existing empirical correlations, mechanistic models, and AI-aided models in the open literature continue to exhibit certain limitations, such as disagreements on the dominant DNB mechanism or the inherent lack of transparency in black-box AI frameworks. In this study, an artificial neural network (ANN) is utilized to analyze the interrelationships between DNB heat flux and eight influential dimensionless parameters gathered from extensive literature resources. Subsequently, a minimal number of the most critical dimensionless quantities were extracted to develop a novel empirical correlation. The results demonstrate that the proposed model possesses superior characteristics, including high robustness, mathematical simplicity, broad applicability across diverse operating conditions, and independence from thermal-hydraulic parameters.

    2027PROGRESS IN NUCLEAR ENERGY(2027)
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    3Synthesis of Plutonium Trichloride and Measurement of Redox Potentials for the Pu3+/Pu0 Couple in NaCl–2CsCl Melt
    Hirokazu Hayashi,Kazuo Minato

    Plutonium trichloride (PuCl3) was synthesized by a solid-state reaction of plutonium nitride with cadmium chloride. Electrochemical studies of PuCl3–(NaCl–2CsCl) melt at 823–923 K revealed that Pu3+ ions are reduced to Pu metal by a single-step mechanism and that the apparent standard potentials of the Pu3+/Pu0 redox couple are given by E*(Pu3+/Pu0) = − 3.514 + 8.60 × 10−4 T vs. Cl2/Cl− (V). The activity coefficients of Pu3+ ions were determined using the previously reported Gibbs free energy of formation for PuCl3 in the supercooled liquid state.

    2026Journal of Radioanalytical and Nuclear Chemistry(2026)引用:39
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    4Electromagnetic Structure of Bc and Heavy Quarkonia in the Light-Front Quark Model
    Rayn Rasyid Harjapradipta, Muhammad Ridwan,Ahmad Jafar Arifi,Terry Mart

    We investigate the electromagnetic structure of heavy quarkonia and the B_c meson within the light-front quark model (LFQM) to better understand the internal spatial charge distributions and QCD dynamics of heavy mesons. The light-front wave functions (LFWFs) are obtained using a variational approach with a few set of harmonic oscillator basis functions, providing a flexible yet tractable description of the bound-state dynamics. Using these LFWFs, we compute the electromagnetic form factors and compare our results with available lattice QCD data and other model calculations. Our results are roughly consistent with previous model predictions, showing that the electromagnetic radii of the 2S and 3S states are approximately 1.5 times and 1.9 times larger than those of their corresponding 1S states, reflecting the expected growth of spatial size in radial excitations.

    2026MODERN PHYSICS LETTERS A(2026)引用:28
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    5Monte Carlo Simulation of Cosmic-Ray Exposure in Traditional Architecture of the Equatorial Region Using PHITS: a Case Study of Cameroon
    Serge Didier Takoukam Soh, Cebastien Joel Guembou Shouop,Tatsuhiko Sato, Guillaume Samuel Bineng, Saïdou, Maurice Ndontchueng Moyo

    Cosmic radiation exposure in both traditional and modern architectural structures has been assessed using the particle and heavy ion transport code system (PHITS) Monte Carlo simulation, across various ethnic regions of Cameroon. The study was conducted considering traditional architectures associated with ethnic groups in the West (Bamileke), Center (Bafia), South (Fang-Beti), Littoral (Sawa), East (Baka), Northwest (Tikar), and Southwest (Bakweri). The traditional architectures in these regions are primarily constructed using locally available materials such as wood, bamboo, thatch (straw), and mud bricks. Building shielding factors for traditional and modern architectures ranges from 0.964 to 0.999 and from 0.859 to 0.892 with an average value of 0.990 ± 0.009 and 0.872 ± 0.010, respectively, during solar minimum activity. The total average contribution of muons (μ⁺ and μ−) in traditional architectures was found to account for 64

    2026The European Physical Journal Plus(2026)引用:22
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    合作机构(100)

    东京大学合作论文 979
    东北大学(日本)合作论文 878
    京都大学合作论文 783
    大阪大学合作论文 773
    高能加速器研究组织合作论文 422
    九州大学合作论文 379
    名古屋大学合作论文 349
    东京工业大学合作论文 342
    日本理化学研究所合作论文 312
    筑波大学合作论文 288

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