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Modern nuclear force predictions for the neutron-deuteron scattering lengths [PDF]
The nd doublet and quartet scattering lengths have been calculated based on the modern NN and 3N interactions. We also studied the effect of the electromagnetic interactions in the form introduced in AV18. Switching them off for the various nuclear force
A. Kievsky +38 more
core +3 more sources
Nuclear Force and Nuclear Matter. II [PDF]
The saturation curves of the nuclear matter are calculated by using the reference specturm method (RSM) for five types of nuclear forces: the Gammel-Thaler potential, the Ramada Johnston potential, two kinds of potentials derived by Tamagaki and Watari which have very small core radii, and a potential having a negative l-s force.
Yoshinori Akaishi +2 more
openaire +2 more sources
We perform the quenched lattice QCD analysis on the nuclear force (baryon-baryon interactions). We employ $20^3\times 24$ lattice at $\beta=5.7$ ($a\simeq 0.19$ fm) with the standard gauge action and the Wilson quark action with the hopping parameters ...
Doi, T., Suganuma, H., Takahashi, T. T.
core +2 more sources
The growing demand for safe and reliable weaponry has heightened performance requirements for explosives. Cocrystal systems, offering a balance between high energy density and safety, have become key targets in advanced energetic material research ...
Ruikang Zheng +7 more
doaj +1 more source
Uranium-containing high-entropy alloys (HEAs) exhibit great potential as a novel energetic structural material, attributed to their excellent performance in impact energy release, superior mechanical properties, and high density.
Yue Lin +6 more
doaj +1 more source
In the electromechanical impedance-based health monitoring of structures, partial failure of piezoelectric lead zirconate titanate will result in signal changes, which may cause misjudgment of the structure state.
Xie Jiang, Xin Zhang, Yuxiang Zhang
doaj +1 more source
由于爆破数据数量有限,利用分类法识别天然地震与爆破会遇到诸多困难。鉴于此,本文建立了高维特征小样本数据集,基于XGBoost模型利用遗传算法(GA)实现对主要影响XGBoost模型分类准确率的迭代次数、最大树深和学习率等三个重要超参数的自主寻优,构建出了GA-XGBoost模型,并将该模型应用于功率谱特征样本集,结果显示:爆破与天然地震的分类准确率高达94.094%;相比于传统的GS-XGBoost模型(准确率91.787%),GA-XGBoost模型在显著提升分类准确率的同时,其运行时间也由409 ...
Hongru Li +5 more
doaj +1 more source
TGF-β-centered epithelial-mesenchymal transition (EMT) is a key process involved in radiation-induced pulmonary injury (RIPI) and pulmonary fibrosis. PIEZO1, a mechanosensitive calcium channel, is expressed in myeloid cell and has been found to play an ...
Jia-Qi Huang +12 more
doaj +1 more source
A Deep Learning Approach for Distant Infrasound Signals Classification
Infrasound signal classification represents a critical challenge that demands immediate attention. Feature extraction stands as the core concept for enhancing classification accuracy in infrasound signal processing.
Xiaofeng Tan +5 more
doaj +1 more source
Objective To study the changes in the metabolic activity of brown adipose tissues in a mouse model of progeria using Cerenkov luminescence imaging. Methods 18F-FDG PET/CT imaging and Cerenkov luminescence imaging were used to dynamically monitor the ...
WANG Zhengjie +4 more
doaj +1 more source

