Showing 50 of 841 papers

The Effect of Reproductive Experience on Psychological Processing of Infant Auditory Cues: Postprint

Wang Xinyue, You Liandong, Li Ming, Li Ming
2025-11-30 ChinaXiv:chinaxiv-202508.00002

Mothers, particularly human mothers, exhibit exceptional sensitivity to the unique acoustic features, emotional valence, and survival cues embedded in infant cries and laughter. This article evaluates various cognitive experimental paradigms developed using infant cry materials and investigates mate…

Dynamic Parent-Child Linkage Mechanism: Bidirectional Effects of Children's Learning Behavior and Maternal Life Satisfaction

Zhai Shuyi, Zhai Shuyi, Shi Xingcheng, Xingcheng Shi, Liang Ying, Liang Ying, Xia Dingling, Xia Dingling, He Jie, He Jie, He Jie, He Jie
2025-10-04 ChinaXiv:chinaxiv-202507.00003

Against the backdrop of building a fertility-friendly society, family well-being and scientific parenting have attracted increasing attention. Based on 5-day intensive longitudinal data from 370 mothers of early school-age children in China, this study employs dynamic structural equation modeling to…

Do Environmental Protection Projects Necessarily Save Energy and Reduce Carbon Emissions? — Post-print of Carbon Emission Accounting for Shouchang Wastewater Treatment Plant, Jiande, Hangzhou

Shi Hao, Yu Guopei, Shi Hao
2025-09-21 ChinaXiv:chinaxiv-202506.00173

This study employs the Shouchang Wastewater Treatment Plant in Jiande City, Hangzhou as an empirical case study to investigate the energy conservation and carbon reduction effects of county-level environmental protection projects. The paper commences with a theoretical and methodological framework, …

How Agricultural Socialized Services Affect Grain Ecological Efficiency: Evidence from 71 Prefecture-Level Cities in the Yellow River Basin (Postprint)

Zhong Jiawei, Zheng Jun, Zhang Mingyue
2025-09-01 ChinaXiv:chinaxiv-202509.00034

Developing agricultural socialized services constitutes an important component of agricultural modernization construction. Under the "dual security" framework for grain and ecology, investigating its contribution to grain ecological efficiency holds significant importance for achieving sustainable a…

ImprovedBρ-defined isochronous mass spectrometry for mass measurements of exotic nuclei

Luo, Yinfang, Lv, Jiahao, Dr. Yuan-ming Xing, Zhang, Prof. Yuhu, Mr. Min Zhang, Wang, Prof. Meng, Litvinov, Prof. Yuri, Zhou, Prof. Xiaohong 周小红, Xing, Yuan-Ming
2025-08-11 ChinaXiv:chinaxiv-202508.00008

The technique of Bρ-defined isochronous mass spectrometry (Bρ-IMS), established at a storage ring, serves as a valuable tool for determining the masses of short-lived nuclei. In the previous Bρ-IMS experiments, the effects of magnetic field drifts have to be corrected in order to improve the mass re…

An event visualization software based on Phoenix for the CEPC experiment

Zeng, Yujie, Song, Ms. Tianzi, Xuesen Wang, Zhang, Prof. Yumei, Dr. Tao Lin, You, Prof. Zhengyun, You, Prof. Zhengyun
2025-08-11 ChinaXiv:chinaxiv-202508.00009

In high-energy physics~(HEP) experiments, visualization software plays a pivotal role in detector design, offline software development, and event data analysis. The visualization tools integrate detailed detector geometry with complex event data models, providing the researchers with invaluable insi…

Trends in Student Engagement Among Mainland Chinese Students (2006–2024)

Zhang Zijian, Chen Jiwen, Peng Shun, Jiahui Wu, Wang Siqian, Chen Jiwen
2025-08-09 ChinaXiv:chinaxiv-202508.00004

This study adopts a sociocultural perspective on learning engagement, integrated with human capital theory, and employs two sub-studies anchored in three categories of social factors to analyze the longitudinal evolution of learning engagement among students in mainland China, examining the influenc…

Negative Emotion Regulation Characteristics and Intervention in Children with Autism: Mindfulness and Cognitive Strategy Training Based on Multimodal Assessment

Feng Tingyong, Wang Xueke, Deng Fang, Feng Tingyong
2025-08-07 ChinaXiv:chinaxiv-202508.00007

Effective coping and management of negative emotions is an essential competency for children with Autism Spectrum Disorder (ASD) to adapt to society; however, previous research has predominantly focused on emotion recognition and emotion understanding, with less attention devoted to the emotion regu…

Machine Learning Prediction of Coordination Number from EXAFS Spectra

Zeng Haitao, Hu Longfei, Yao Tao
2025-08-06 ChinaXiv:chinaxiv-202508.00010

X-ray Absorption Fine Structure (XAFS) is an important structural analysis technique widely applied to investigate the oxidation state, coordination environment, and neighboring atomic properties of amorphous materials and disordered systems. However, due to the complexity of XAFS spectra, their int…

Driven Diffusion of Radiation Defects in α-Uranium by Temperature/Stress Gradients: Molecular Dynamics Insights into Anisotropy and Directional Migration

Peng Jiang, Dr. Yangchun Chen, Deng, Prof. Huiqiu, Deng, Prof. Huiqiu
2025-08-05 ChinaXiv:chinaxiv-202508.00011

The anisotropic diffusion of irradiation defects in α-uranium (α-U) has been investigated using classical and nonequilibrium molecular dynamics methods, with the aim of better understanding the complex response of the microstructure to irradiation damage, which depends on temperature and internal st…

AI-Driven α/β Particle Discrimination for the Dual-Scintillator Detector

Peiyu Zhang, Dr. Lei Wang, Tan, Mr. Yifan, Li, Dr. Haoxuan, Wang, Mr. Zexi, Ms. Yan Li, WANG, Dr. Lei
2025-08-05 ChinaXiv:chinaxiv-202508.00012

Accurate measurement of the activities of α/β radionuclides in environmental samples is critical for environmental radiation monitoring. Traditional α/β discrimination methods for dualscintillator detectors primarily rely on the amplitude, width, and rise time of the pulse from the detector, often l…

High-Temperature Molten Salt Corrosion and Wear Resistance of a Novel Nb-Alloyed Austenitic Steel for MSR Structural Applications

Choi, Yongseok, Lee, Dr. Changwoo, Lee, Dr. Hyeon-Geun, Kang, Mr. Seongmin, Park, Mr. Kyeongryeol, Jeong, Prof. Jae-Ho, Lee, Prof. Kyungjun, Lee, Prof. Kyungjun
2025-08-05 ChinaXiv:chinaxiv-202508.00013

The next-generation Molten Salt Reactor (MSR) utilizes a liquid-fuel system, in which fissile material is dissolved in high-temperature molten salts. This dual-purpose medium acts as both fuel and primary coolant, offering exceptional thermal stability and inherent safety features. However, MSR pose…

Impairments in Vocal Emotion Recognition in Children with Autism Spectrum Disorder: Prosody, Semantics, or Integration Difficulties? — A Three-Level Meta-Analytic Investigation

Chen Lijun, Jin Yuexin, Zeng Hanhan, Jiang Xiaoliu, Jiang Xiaoliu
2025-08-05 ChinaXiv:chinaxiv-202508.00006

Daily social verbal communication contains both semantic and prosodic cues. Do children with autism spectrum disorder rely on prosody or semantics to judge a speaker's emotion in social interactions? Investigating this question facilitates understanding of the disorder's etiology and provides direct…

Theoretical Derivation and MCNP5-Based Comparative Study of Neutron Flux Density Distribution in Annular Reactors

Han, Mr. Yang, Han, Mr. Yang
2025-08-04 ChinaXiv:chinaxiv-202508.00014

To bridge the theoretical gap in the analysis of neutron flux density distributions within annular reactors, this study derives closed-form solutions for the neutron flux density under critical conditions based on the monoenergetic neutron diffusion equation and validates them using MCNP5 simulation…

Improving the MCUCN Code to Simulate Ultracold Neutron Storage and Transport in Superfluid 4He

Xuefen Han, Shen Fei, Zhou Bin, Cai Xiaoxiao, Yi Tiancheng, Hu Zhiliang, Wang Songlin, Liang Tianjiao, Robert Golub, Liang Tianjiao
2025-08-04 ChinaXiv:chinaxiv-202508.00020

The ultracold neutron (UCN) transport code, MCUCN, designed initially for simulating UCN transportation from a solid deuterium ($\rm SD_{2}$) source and neutron electric dipole moment experiments, could not simulate UCN storage and transportation in a superfluid $\rm{^{4}{He}}$ (SFHe, He II) source …

Application of Deep Learning to Crack Segmentation in Neutron CT Images of Ancient Writing Knives

Li, Mr. Jiancong, wang, Dr. Shengxiang, Shu, Mr. Xin, Dong, Le, Dr. Yong Lei, Chen, Prof. Jie, wang, Dr. Shengxiang
2025-08-03 ChinaXiv:chinaxiv-202508.00015

Neutron CT imaging offers unique advantages in metal defect detection and cultural relic analysis, particularly for exploring internal structures of ancient artifacts like writing knives, due to its high penetrability and hydrogen sensitivity. Accurate segmentation of its images is critical for defe…

Neutron/X-ray Dual-Modality Imaging at ERNI: A Case Study on Cultured Pearls

Shu, Xin, wang, Dr. Shengxiang, Chen, Prof. Jie, Dr. Xin Ge, Li, Jiancong, Dong, Le, wang, Dr. Shengxiang
2025-08-03 ChinaXiv:chinaxiv-202508.00016

X-ray and neutron computed tomography (CT) are widely used for non-destructive characterization of internal structures. Their distinct contrast mechanisms, arised from different interactions with matter, can enhance structural analysis when combined. Dual-modality imaging integrating both techniques…

The Impact of Marriage on the Developmental Trajectory of Life Satisfaction in Early Adulthood: A Ten-Year Longitudinal Study Based on CFPS

Peng Wang, Yan Ping, Zhou Yaping, Xiang Yanhui, Xiang Yanhui
2025-08-02 ChinaXiv:chinaxiv-202508.00005

Does marriage alter the developmental trajectory of individuals' life satisfaction? This is both a major issue concerning national harmony and stability, and an important question regarding individual quality of life. Based on hedonic adaptation theory and the buffer model, this study utilizes six-w…

Numerical Study on Powder Migration and Clogging Mechanism in Pebble Beds with Purge Gas

Cui,Xuetao, Wu,Qigang, Wang, Jian, Lei,Mingzhun, Song,Yuntao, Cui, Xuetao
2025-08-02 ChinaXiv:chinaxiv-202508.00017

Objective: As the primary functional component of a fusion reactor, the fusion blanket pebble bed, composed of numerous particles, is crucial for tritium breeding, neutron multiplication, and radiation shielding. Particles within tritium-breeding pebble beds are subjected to prolonged neutron irradi…

Contextual Prediction in Chinese Reading and Its Effect on Lexical Recognition: Fixation-Related Potential Evidence

Liu Zhifang, Feng Ximei, \documentclass[twocolumn]{article} \usepackage[utf8]{inputenc} \usepackage{amsmath} \usepackage{graphicx} \usepackage{CJK} \usepackage[numbers]{natbib} \title{Research on Image Classification Methods Based on Deep Learning} \author{Zhang San \\ School of Computer Science and Technology \\ Peking University} \date{\today} \begin{document} \begin{CJK}{UTF8}{gbsn} \maketitle \begin{abstract} This paper studies image classification methods based on deep learning. It first introduces the fundamental principles and commonly used models of deep learning, and then focuses on analyzing the application of convolutional neural networks in image classification tasks. Experimental results demonstrate that the proposed method achieves 92.5\% accuracy on the CIFAR-10 dataset, outperforming traditional machine learning methods. \end{abstract} \keywords{deep learning, image classification, convolutional neural network} \section{Introduction} With the rapid development of artificial intelligence technology, machine learning has become an important research direction in the field of computer science. In particular, breakthroughs in deep learning technology in recent years have led to significant progress in tasks such as image classification, speech recognition, and natural language processing. This paper will focus on exploring the application of deep learning in image classification. \section{Related Work} Traditional image classification methods mainly rely on hand-crafted feature extractors, such as SIFT\cite{lowe2004distinctive} and HOG\cite{dalal2005histograms}. These methods require domain expert knowledge and have limited generalization capabilities. In contrast, deep learning methods can automatically learn hierarchical feature representations, significantly improving classification performance. \section{Deep Learning Methods} \subsection{Convolutional Neural Networks} Convolutional Neural Networks (CNN) are a type of deep learning model specifically designed for processing data with grid-like structures. They extract image features through a combination of convolutional layers, pooling layers, and fully connected layers. Convolutional layers perform convolution operations on the input using learnable filters, while pooling layers are used to reduce feature dimensions. \subsection{Residual Networks} Residual Networks (ResNet) solve the vanishing gradient problem in training deep networks by introducing skip connections. This structure enables the network to learn residual mappings, thereby allowing the training of deeper network architectures. ResNet achieved breakthrough results in the ImageNet Large Scale Visual Recognition Challenge. \section{Experimental Setup} We evaluated the proposed method on the CIFAR-10 dataset. This dataset contains 60,000 32×32 color images divided into 10 categories. We used 50,000 images for training and 10,000 images for testing. The experiments were implemented using the PyTorch framework and trained on an NVIDIA Tesla V100 GPU. \section{Experimental Results} As shown in Table\ref{tab:results}, our method achieved 92.5\% accuracy on the test set. Figure\ref{fig:confusion_matrix} shows the confusion matrix, which demonstrates that the model performs relatively balanced across all categories. Compared with the baseline method, the accuracy improved by 5.2 percentage points. \begin{table}[h] \centering \caption{Performance Comparison of Different Methods} \label{tab:results} \begin{tabular}{lc} \hline Method & Accuracy(\%) \\ \hline Traditional machine learning method & 87.3 \\ Deep learning method & 92.5 \\ \hline \end{tabular} \end{table} \section{Conclusion} This paper proposes an image classification method based on deep learning and validates its effectiveness on the CIFAR-10 dataset. Experimental results demonstrate that deep learning methods have significant advantages in image classification tasks. Future work will explore more efficient model architectures and training strategies. \bibliographystyle{plain} \bibliography{references} \end{CJK} \end{document}, Liu Zhifang
2025-08-01 ChinaXiv:chinaxiv-202508.00003

This study utilized the fixation-related potential technique to examine predictive processing in Chinese reading and the cognitive mechanisms underlying its influence on lexical recognition effects. Analyses of eye movement and electroencephalographic (EEG) data in the pre-target and target word reg…

Strain-related phenomena in GaN epilayers under MeV inert-gas ions irradiation

Liqing Zhang, Liqing Zhang
2025-08-01 ChinaXiv:chinaxiv-202508.00022

Single crystal GaN epilayers were irradiated with heavy inert-gas ions (2.3-MeV Ne8+, 5.3-MeV Kr19+) to fluences ranging from 1.0×1011 to 1.0×1015 ions/cm2. The strain-related damage accumulation versus ion fluences was studied by using a high-resolution X-ray diffractometer (HRXRD) and an ultraviol…

Threat Stimuli Facilitate Learned Distractor Suppression Based on Location Probability

Nian Jingqing, Tan Jiang, Zhang Di, Zhang Yu, Luo Yu, Luo Yu
2025-08-01 ChinaXiv:chinaxiv-202508.00001

Threat stimuli possess strong priority in attentional processing, yet whether they facilitate or interfere with the formation of learned distractor inhibition remains unclear. This study examined the influence of threat stimuli on the formation of location-probability-based learned distractor inhibi…

Development of an omnidirectional Compton camera with enhanced energy resolution for radioactive source localization

Xin-Yu Yang, Yang, Dr. Jian, Zeng, Dr. GQ, Deng, Mr. Haowen, Tian, Chengshuai, HU, Dr. Chuan-hao, Yang, Dr. Jian
2025-07-31 ChinaXiv:chinaxiv-202508.00021

Abstract: For radioactive source localization, traditional Compton cameras are limited by the imaging field of view and low detection efficiency, resulting in slow response in complex environments. To address the limitations in the azimuthal sensitivity of conventional dual-layer scintillator detect…

Layout Study of Nuclear Instrumentation System for Gas-Cooled Microreactor and Its Application to Core Monitoring

Zhang Chenglong, Yuan Yuan, Liu Guoming, Zhang Peng, Xiao Huiwen, Dong Jianhua, Guan Jingyu, He Kai, Yi Xuan
2025-07-29 ChinaXiv:chinaxiv-202508.00028

Gas-cooled micro-reactors are constrained by their compact arrangement and high-temperature operating environment, which limits core monitoring to only a small number of ex-core detectors. A nuclear measurement system layout scheme coupling neutron sources with ex-core detectors for micro-reactors i…

Development and Performance of Ultra-High Energy Resolution Dreamline Beamline at SSRF

Dr. Zhenhua Chen, Prof. Ying Zou, Junqin Li, Zhu, Dr. Fangyuan, Cheng, Dr. Yiwei, Huang, Prof. Yaobo, Wang, Prof. Yong, Tai, Prof. Renzhong, Tai, Prof. Renzhong
2025-07-29 ChinaXiv:chinaxiv-202508.00030

The ultrahigh-energy-resolution soft X-ray beamline, "Dreamline," at the Shanghai Synchrotron Radiation Facility (SSRF), has been successfully constructed and is now fully operational for conducting angle-resolved photoemission spectroscopy (ARPES) and photoelectron emission microscopy (PEEM) experi…

Review of the development and application of high flux reactors

Li, Jian, Xu, Wei, She, Ding, Xie, Heng, Liu, Zhihong, Shi, Lei, She, Ding
2025-07-29 ChinaXiv:chinaxiv-202508.00031

High flux reactors (HFRs) are a special type of research reactor aimed at providing a high neutron flux. Compared with power reactors and other research reactors, HFRs have unique technical features in terms of reactor core design, irradiation capability, and operating characteristics. They can be a…

Ab initio calculations of the highest-multipole electromagnetic transition ever observed in nuclei

Sqin Fan, Qi Yuan, Furong Xu, Philip Malzard Walker, Furong XU
2025-07-28 ChinaXiv:chinaxiv-202508.00032

High multipole electromagnetic transitions are rare in nature. The highest multipole transition observed in atomic nuclei is the electric hexacontatetrapole E6 transition from the T1/2 = 2.54(2)-min Jπ = 19/2− isomer to the 7/2− ground state in 53Fe with an angular momentum change of six units. In t…

Dynamics of near-barrier fusion reactions: antisymmetrized molecular dynamics modeling of 6Li + 13C and 7Li + 12C

Dexin Wang, Meirong Huang, Su-Ya-La-Tu Zhang, DanDan Niu, Guo Li, Hao Chun Yu, Geriletu Bao, Dexin Wang, Su-Ya-La-Tu Zhang
2025-07-28 ChinaXiv:chinaxiv-202508.00033

The fusion dynamics of \ce{^6Li} and \ce{^7Li} projectiles incident on \ce{^{13}C} and \ce{^{12}C} targets, respectively, near the Coulomb barrier, were investigated theoretically using the antisymmetrized molecular dynamics (AMD) model. Within the AMD framework, the ground state configurations of \…

Benchmarking nuclear energy density functionals with new mass data

Qu, Xiaoying, Chen, Kangmin, Pang, Cong, Yu, Yangyang, Zhang, Kaiyuan, Zhang, Kaiyuan
2025-07-28 ChinaXiv:chinaxiv-202508.00034

Nuclear masses play a crucial role in both nuclear physics and astrophysics, driving sustained efforts toward their precise experimental determination and reliable theoretical prediction. In this work, we compile the newly measured masses for 296 nuclides from 40 references published between 2021 an…

Microstructural Evolution and Radionuclide Release Behavior of SIMFUEL Under Coupled Effects of Burn-up, Sintering, and Leaching Temperature

Heo, Dr. Su Jeong, Cho, Dr. Yung-Zun, Kang, Dr. Kweonho, Lee, Dr. Ju Ho, Heo, Dr. Su Jeong
2025-07-28 ChinaXiv:chinaxiv-202508.00035

Understanding the long-term behavior of spent nuclear fuel (SNF) is crucial for safe radioactive waste management. This study evaluates how burn-up, sintering temperature, and leaching temperature impact the leaching and microstructural stability of SIMulated FUEL (SIMFUEL) pellets designed to simul…

Super-Resolution Reconstruction of UAV-borne Gamma-Ray Spectrum Images Based on Real-ESRGAN Algorithm

Wang Xin, Yuan Yuan, Zhao Xuan, Luo Guanghao, Wei Qiqiao, Wu Hexi, Xiong Chao, Xiong Chao
2025-07-28 ChinaXiv:chinaxiv-202508.00036

Unmanned aerial vehicle (UAV)-borne gamma-ray spectrum surveys play a crucial role in geological mapping, radioactive mineral exploration, and environmental monitoring. However, raw data are often compromised by flight and instrument background noise, as well as detector resolution limitations, whic…

Bayesian analysis of Gamow resonances with reduced basis methods: from eigenvectorcontinuation to post-emulation corrections

Cheng Ruoyu, Xu Zhicheng, Xu Zhicheng
2025-07-27 ChinaXiv:chinaxiv-202508.00037

To study the uncertainty quantification of resonant states in open quantum systems, we developed a Bayesianframework by integrating a reduced basis method (RBM) emulator with the Gamow coupled-channel (GCC)approach. The RBM, constructed via eigenvector continuation and trained on both bound and reso…

Determination of 235U/238U atom ratio by low energy photon spectrometry with a silicon drift detector

Dr. Haifei Zhang, Chen, Dr. Wei, Xiao-Long Huang, Yang, Prof. Dong, Dr. Haifei Zhang
2025-07-27 ChinaXiv:chinaxiv-202508.00038

A methodology based on low energy photon spectrometry with a silicon drift detector (SDD) is developed for the determination of 235U/238U atom ratio in uranium samples. The SDD is well suited for measuring low energy photons emitted from thin uranium sample source with low self-absorption. The main …

Sensitivity analysis of rod rearrangement in criticality safety for PWR fuel assemblies under transportation accidents

Xinling Dai, De-chang Cai, Yan-min Zhang, Jin Cai, Cai De-chang
2025-07-27 ChinaXiv:chinaxiv-202508.00044

To ensure the safe transportation of radioactive materials, numerous countries have established specific stan dards. For the transfer of fissile materials, it is imperative that the material within the packaging remains in a subcritical state during routine, normal, and accidental transport conditio…

A Silicon Microstrip Detector for Power-Limited and Large Sensitive Area Applications

Miao, Dexing, Xu, Prof. Zijun, Dr. Zhiyu Xiang, Liu, Dr. Pingcheng, Ambrosi, Prof. Giovanni, Barbanera, Dr. Mattia, Dr. Mengke Cai, Prof. Xudong Cai, Dr. Hsin-Yi Chou, Duranti, Prof. Matteo, Formato, Dr. Valerio, Ionica, Dr. Maria, Jiang, Dr. Yaozu, Jin, Liangchenglong, Dr. Vladimir Koutsenko, Li, Mr. Qinze, Liu, Mr. Cong, Lv, Xingjian, Oliva, Dr. Alberto, Peng, Wenxi, Qiao, Dr. Rui, Silvestre, Dr. Gianluigi, Wu, Mr. Zibing, Prof. Xuhao Yuan, Hongyu Zhang, Dr. Xiyuan Zhang, Wang, Jianchun, Wang, Jianchun
2025-07-26 ChinaXiv:chinaxiv-202508.00040

A silicon microstrip detector (SSD) has been developed to have state of the art spatial resolution and a large sensitive area under stringent power constraints. The design incorporates three floating strips with their bias resistors inserted between two aluminum readout strips. Beam test measurement…

Residual resampling-based physics-informed neural network for neutron diffusion equations

Heng Zhang, Yun-Ling He, Dong Liu, Qin Hang, He-Min Yao, Di Xiang, Dong Liu
2025-07-26 ChinaXiv:chinaxiv-202508.00041

The neutron diffusion equation plays a pivotal role in the analysis of nuclear reactors. Nevertheless, employ#2;ing the Physics-Informed Neural Network (PINN) method for its solution entails certain limitations. TraditionalPINN approaches often utilize fully connected network (FCN) architecture, whi…

Physics-informed neural network with equation adaption for 220Rn progeny concentration prediction

Shaohua Hu, Qi Qiu, De-Tao Xiao, Xiang-Yuan Deng, Xiang-Yu Xu, Peng-hao Fan, Lei Dai, Zhi-Wen Hu, Tao Zhu, Qing-Zhi Zhou, Tao Zhu, Qing-Zhi Zhou
2025-07-26 ChinaXiv:chinaxiv-202508.00042

Physics-informed neural networks (PINNs) play a vital role in machine learning and demonstrate significant advantages in addressing complex physical problems. The PINN method enables rapid prediction of 220Rn progeny concentration and holds significant importance for the regulation and measurement o…

Evaluation of polycarbonate films as detection materials for high-dose electron-beam radiation detection

Fei, Xionghui, Wang, Ke, Wang, Xiaodong
2025-07-26 ChinaXiv:chinaxiv-202508.00043

In this study, the dosimetric characteristics (thickness applicability, preheating time, temperature and hu midity dependence, in-batch uniformity, readout reproducibility, dose linearity, self-decay, and electron energy response) of engineered polycarbonate films irradiated with an electron beam (0…

Biomass aerogel based on chitosan and bayberry tannin for uranium recovery from aqueous solution

Guiqiang He, Dan Lin, Jian Zhou, Guiqiang He
2025-07-25 ChinaXiv:chinaxiv-202508.00045

Many adsorbents have been developed for uranium recovery to ensure global energy and environmental security. However, most reported adsorbents involve complex preparation process and rely heavily on petrochemical feedstocks, which undoubtedly increases carbon emissions from production in the nuclear…

GPU-accelerated Monte Carlo method for dose calculation of mesh-type computational phantoms

Yan, Shuchang, Qiu, Rui, Luo, Xiyu, Hu, Ankang, Wu, Zhen, Li, Junli, Qiu, Rui
2025-07-25 ChinaXiv:chinaxiv-202508.00046

Computational phantoms play an essential role in radiation dosimetry and health physics. Although mesh-type phantoms offer a high resolution and adjustability, their use in dose calculations is limited by their slow computational speed. Progress in heterogeneous computing has allowed for substantial…

Space -charge driven resonant beam halo in high-intensity hadron synchrotrons

Yao Shuoyuan, Jia-Yin Du, Morteza Aslaninejad, Jing-Tong Du, Ming-Yang Huang, S. Wang, Yao Shuo-Yuan
2025-07-25 ChinaXiv:chinaxiv-202508.00047

With the significant development of high-intensity hadron (proton and heavy ion) accelerator facilities, the space charge effect has become a major limiting factor for increasing beam intensity because it can drive particle resonance, forming beam halos and causing beam quality degradation or even b…

Crushing evolution in pebble bed based on a novel method: A crushable DEM study

Wang, Jian, Mingzhun Lei, Deng, Haishun, Wang, Jian, Deng, Haishun
2025-07-24 ChinaXiv:chinaxiv-202508.00049

In this paper, a novel method for investigating the particle-crushing behavior of breeding particles in a fusion blanket is proposed. The fractal theory and Weibull distribution are combined to establish a theoretical model, and its validity was verified using a simple impact test. A crushable discr…

Generation of Short-Duration, High-Power heavy ion beams in BRing at HIAF

Yin, Dr. dayu, Dr. Jinquan Zhang, Chai, Dr. Weiping, Yin, Dr. dayu
2025-07-24 ChinaXiv:chinaxiv-202508.00050

Maximizing beam energy deposition requires capturing the entire ion population within a single short-duration bunch to achieve peak power. Using the typical beam 238 U 35+ in the Booster Ring (BRing) at the High Intensity Heavy-Ion Accelerator Facility (HIAF) as an example, we systematically analyze…

Study on Transport Properties of Charged Particles in Plasmas Based on Geant4 and the Modified LP Theory

Li, Dr. Ouyi, Dr. Weijia Meng, Fang, Dr. Wenxiang, Dr. Bin Zhong, Prof. Tianyu Ma, Prof. Ganglin Yu, yu, Prof. ganglin
2025-07-23 ChinaXiv:chinaxiv-202508.00053

For controlled nuclear fusion, it is of significance to develop a comprehensive simulation environment for Inertial Confinement Fusion(ICF) . This environment must accurately calculate the energy loss of charged particles in high-temperature, high-density plasma, and simulate the physical parameters…

Muonium to Antimuonium Conversion Search Using A LGAD-Based Detector System: A Simulation Study

Ms. Yuting Wang, Hu, Dr. Jifeng, Guo, Dr. Yuhang, Lv, Dr. You, Chen, Dr. Cong, Wu, Dr. Chen, bao, Dr. yu, Bao, Dr. Yu
2025-07-23 ChinaXiv:chinaxiv-202508.00055

The muonium to antimuonium conversion research would be enhanced by an intense pulsed muon source. However, the high intensity muon source induces high pile-up rate in the detector system and reduces the total efficiency. Here we propose a Low Gain Avalanche Detector (LGAD)-based system to search fo…

Return to Simplicity: The Path to the Ultimate Theory of Physics

Liang Zhongcheng, Dong Kaijun, Liang Zhongcheng
2025-07-22 ChinaXiv:chinaxiv-202506.00056

Originating in the early 20th century, the revolutions of relativity and quantum theory failed to deliver the anticipated ultimate physical theory; instead, physics in the 21st century confronts even greater perplexities and profound crises. The persistent visibility yet elusiveness of grand unified…

A Gauss-Seidel-Based Acceleration Method for Solving CRAM Burnup Equations

Sun Yuqing, Zhang Binhang, Yuan Xianbao, Tang Haibo
2025-07-22 ChinaXiv:chinaxiv-202508.00056

Reactor burnup calculations are crucial to the safe operation and fuel management of nuclear power plants. In recent years, the Chebyshev Rational Approximation Method (CRAM) has emerged as one of the primary methods for solving burnup equation systems. When employing CRAM, complex matrix computatio…

Multireference covariant density functional theory for shape coexistence and isomerism in 43S

Zhou, Dr. En-Fu, Dr. Xian-Ye Wu, Xiang, Prof. Jian, Yao, Dr. J. M., Ring, Prof. Peter, Yao, Dr. J. M.
2025-07-22 ChinaXiv:chinaxiv-202508.00057

We present a new development in the multireference covariant density functional theory (MR-CDFT) for the low-lying states of odd-mass nuclei by mixing the configurations not only with different intrinsic quadrupole shapes, but also with different $K$ quantum numbers. All the configurations are proje…

An Explicit Off-situ Inversion Method for Neutron Fields in Reactor Core Based on Graph Structure

Cao, Dr. Pei, Cao, Xuetao, Dr. Hui Ding, Prof. Sixuan Zhuang, Yang, Dr. Zihui, Sun, Dr. Guomin, cao, Dr. pei
2025-07-21 ChinaXiv:chinaxiv-202508.00058

In the future, advanced reactors will face harsh core environments. Utilizing off-situ detection signals to invert the neutron distribution within the core represents a crucial means for ensuring safe core operation. The latest data-driven off-situ inversion algorithms have not fully considered the …

Measurement of efficiency calibration and coincidence correction factor for well-type HPGe detector

Yu Guobing, Gu Xianbao, Xiang Yunxiang, Liu Yi, HE Xu, Zhang Wenliang, Wang Jinlong
2025-07-21 ChinaXiv:chinaxiv-202508.00059

To calculate the detection efficiency curve and coincidence correction factors for a well-type HPGe detector, the detection efficiency of the HPGe was calibrated using commonly employed single-energy γ radionuclide standard sources, while cascade coincidence correction factors for common radionuclid…