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SSRN 2023年

作者： Qin, Yulin Wu, Changgui Long, Xiaojiang Qiu, Wenbin Zhou, Lvjun Tang, Jiafeng Zhang, Ning Yin, Ming Chen, Longqing Zhu, Jun College of Physics Sichuan University Sichuan Chengdu610065 China Kunming Metallurgical Research Institute Co. Ltd Yunnan Kunming650031 China Key Laboratory of Micro Nano Optoelectronic Devices and Intelligent Perception Systems Yangtze Normal University Chongqing Fuling408100 China Department of Fundamental Courses Wuxi Institute of Technology Wuxi214121 China Key Laboratory of Radiation Physics and Technology Ministry of Education Institute of Nuclear Science and Technology Sichuan University Chengdu610064 China School of Mechanical Engineering Sichuan University Chengdu610064 China

In recent years, significant progress has been made in the development of high-entropy alloys (HEAs) that possess both high strength and high ductility. The application of the metastable engineering strategy to enhance the strength and ductility of materials has also gradually been employed, and cryogenic treatment is one of the important techniques in this regard. Through cryogenic liquid nitrogen treatment, this study significantly enhanced the strength and ductility of (CrMnFeCoNi)45Fe55 and (CrMnFeCoNi)40Fe60 HEAs prepared by laser melting deposition (LMD). Compared to the initial samples, the fracture strength of (CrMnFeCoNi)45Fe55 increased from 480 MPa (at room temperature) to 980 MPa (after cryogenic treatment), and the fracture elongation alloy increased from 60% (at room temperature) to 62% (after cryogenic treatment). The fracture strength of (CrMnFeCoNi)40Fe60 alloy increased from 550 MPa (at room temperature) to 1150 MPa (after cryogenic treatment), and the fracture strength decreased from 55% (at room temperature) to 45% (after cryogenic treatment). This is attributed to the fact that cryogenic liquid nitrogen treatment reduces the stacking fault energy of the alloy system, facilitating the formation of stacking faults. The formation of stacking faults, in turn, provides nucleation sites for phase transformations, promoting the transformation of the matrix from face-centered cubic (FCC) phase to body-centered cubic (BCC) phase or other phases. This activates phase transformation-induced plasticity effects (TRIP). Simultaneously, the bidirectional coexistence mechanism achieves a favorable balance between strength and ductility. This provides a new ideas and method for obtaining high-entropy alloys with excellent comprehensive mechanical properties. © 2023, The Authors. All rights reserved.

关键词： Microstructure

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Evaluation on least square method applied to gamma spectrum de-noising

Evaluation on least square method applied to gamma spectrum ...

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2019 International Conference on applied Machine Learning and Data Science, ICAMLDS 2019

作者： Li, Fei Lang, Xinle Chen, Yi Ge, Liangquan Feng, Li Li, Siwei Applied Nuclear Technology in Geosciences Key Laboratory Sichuan Province China College of Nuclear Technology and Automation Engineering Chengdu University of Technology China Chengdu Shude Foreign Language School China

Gamma energy spectrum is a way to confirm the type and content of radioactive nuclides in substances. In order to obtain effective data of gamma spectrum, it is necessary to analyze the data of gamma spectrum obtained by the detector. Nevertheless, due to the influence of statistical fluctuation and gamma generated by the environment itself during the measurement of gamma spectrum, the obtained gamma spectrum is not accurate enough as a result of needing spectral analysis of gamma spectrum, and noise reduction can make the spectral data smoother. Therefore, this paper studies the noise reduction algorithm for gamma spectrum analysis, analyzes the design and application of different algorithms in the process of noise reduction, and summarizes the advantages and disadvantages of this algorithm and others. © Published under licence by IOP Publishing Ltd.

关键词： Noise abatement

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Effect of jet lag on brain white matter functional connectivity

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Psychoradiology 2021年第2期1卷 55-65页

作者： Feifei Zhang Zhipeng Yang Kun Qin John A.Sweeney Neil Roberts Zhiyun Jia Qiyong Gong Huaxi MR Research Center(HMRRC) Department of RadiologyWest China Hospital of Sichuan UniversityChengdu 610041China Research Unit of Psychoradiology Chinese Academy of Medical SciencesChengdu 610041China College of Electronic Engineering Chengdu University of Information TechnologyChengdu 610225China Department of Psychiatry and Behavioral Neuroscience University of CincinnatiCincinnatiOHUSA School of Clinical Sciences University of EdinburghEH164TJUK Department of Nuclear Medicine West China HospitalSichuan UniversityChengdu 610041China

Background:A long-haul flight across more than five time zones may produce a circadian rhythm sleep disorder known as jet *** is known about the effect of jet lag on white matter(WM)functional connectivity(FC).Objective:The present study is to investigate changes in WM FC in subjects due to recovery from jet lag after flying across six time ***:Here,resting-state functional magnetic resonance imaging was performed in 23 participants within 24 hours of flying and again 50 days *** matter(GM)and WM networks were identified by k-means *** FC and functional covariance connectivity(FCC)were ***,a sliding window method was used to establish dynamic WM *** static and dynamic FC and FCC were compared between when participants had initially completed their journey and 50 days *** was assessed using the Positive and Negative Affect Schedule and the State Anxiety ***:All participants were confirmed to have jet lag symptoms by the Columbian Jet Lag *** static FC strengthes of cingulate network(WM7)-sensorimotor network and ventral frontal network-visual network were lower after the long-haul flight compared with *** results were obtained for the dynamic FC *** analysis of FCC revealed weakened connections between the WM7 and several other brain networks,especially the precentral/postcentral ***,a negative correlation was found between emotion scores and the FC between the WM7 and sensorimotor related ***:The results of this study provide further evidence for the existence of WM networks and show that jet lag is associated with alterations in static and dynamic WM FC and FCC,especially in sensorimotor *** lag is a complex problem that not only is related to sleep rhythm but also influences emotion.

关键词： circadian rhythm disorder jet lag functional connectivity white matter

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Minimal mean kinetic energy modification of the design defect for pitch curve with concave cusps of n-lobe noncircular gear

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UPB Scientific Bulletin, Series D: Mechanical engineering 2020年第4期82卷 191-198页

作者： Zhang, Xin Fan, Shuai College of Mechanical Engineering Baoji University of Arts and Sciences BaojiShaanxi721016 China The College of Nuclear Technology and Automation Engineering Chengdu University of Technology ChengduSichuan610059 China

A modification model with minimal mean kinetic energy characteristic is established of the design defect of pitch curve with concave cusps. The modification model can be solved via the Euler-Lagrange Equation, and the unified algorithm of minimal mean kinetic energy modification for the pitch curve with concave cusps can be developed. Meanwhile, the changing situation of modified transmission ratio can be investigated, and it shows that the design defect can be modified within the smaller transmission error range. Numerical example illustrates the validity and feasibility of the proposed modification model and algorithm. © 2020, Politechnica university of Bucharest. All rights reserved.

关键词： Kinetic energy

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Boosting the Efficiency and Mechanical Stability of Organic Solar Cells Through a Polymer Acceptor by Reducing the Elastic Modulus

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Advanced Energy Materials 2025年第0期

作者： Wang, Yan Yu, Han Zhao, Dan Liu, Wei Liu, Baoze Wu, Xin Gao, Danpeng Zhang, Dong Zhang, Shoufeng Sun, Xianglang Zhang, Chunlei Zhao, Chaoyue Fu, Yuchen Song, Wei Gong, Shaokuan Fu, Yuang Kwok, Chung Hang Ge, Ziyi Lu, Xinhui Chen, Xihan Xiao, Shuang Wong, Wai-Yeung Chai, Yu Yan, He Zhu, Zonglong Department of Chemistry City University of Hong Kong Kowloon999077 Hong Kong Department of Chemistry Guangdong-Hong Kong-Macao Joint Laboratory of Optoelectronic and Magnetic Functional Materials Energy Institute and Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration & Reconstruction Hong Kong University of Science and Technology Clear Water Bay Kowloon999077 Hong Kong Department of Applied Biology and Chemical Technology and Research Institute for Smart Energy The Hong Kong Polytechnic University Hung Hom 999077 Hong Kong Hong Kong University of Science and Technology-Shenzhen Research Institute No. 9 Yuexing 1st RD Hi-tech Park Nanshan Guangdong Shenzhen518057 China School of Automation Engineering University of Electronic Science and Technology of China Sichuan Chengdu611731 China Department of Physics City University of Hong Kong Kowloon999077 Hong Kong Zhejiang Engineering Research Center for Energy Optoelectronic Materials and Devices Ningbo Institute of Materials Technology & Engineering Chinese Academy of Sciences Ningbo315201 China Shenzhen Key Laboratory of Intelligent Robotics and Flexible Manufacturing Systems SUSTech Energy Institute for Carbon Neutrality Department of Mechanical and Energy Engineering Southern University of Science and Technology Guangdong Shenzhen518055 China Department of Physics The Chinese University of Hong Kong Shatin999077 Hong Kong Center for Advanced Material Diagnostic Technology and College of Engineering Physics Shenzhen Technology University Guangdong Shenzhen518118 China Shenzhen Research Institute City University of Hong Kong Shenzhen518057 China

Organic solar cells (OSCs) are regarded as one of the most promising flexible power sources due to their lightweight and flexible properties, with the improvement of photovoltaic and mechanical performance. To improve the current density and power conversion efficiency (PCE), mPh4F-TS (TS) and PYSe2F-T (PA) are introduced into the binary host, PM6/mPh4F-TT (PM6/TT) as third components. It is demonstrated that the corresponding ternary devices, in both rigid and flexible devices, achieved superior efficiencies (19.6%/17.7% for PM6/TT+TS, and 19.2%/17.4% for PM6/TT+PA) outperform the binary counterparts (18.3%/16.4%). However, distinct differences in mechanical performance are observed between the polymer acceptor (PA) and small-molecular acceptor (TS). The PM6/TT+PA significantly improved the mechanical stability of flexible devices with a lower elastic modulus of 3.6 GPa, while the PM6/TT+TS resulted in the opposite effect with a higher elastic modulus of 5.5 GPa. Through in-depth investigation, a clear correlation between the elastic modulus, crack density, and mechanical stability of the active layer blends is successfully established, revealing the key role of reducing the elastic modulus in enhancing the mechanical stability of flexible OSCs. This study provides important guidance for the development of flexible photovoltaic devices with both high efficiency and mechanical robustness. © 2025 The Author(s). Advanced Energy Materials published by Wiley-VCH GmbH.

关键词： Organic solar cells

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Preparation, characterization, and biological activity of the inclusion complex of dihydroquercetin and β-Cyclodextrin

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AAPS Open 2023年第1期9卷 1-13页

作者： Xu, Yaping Wang, Yue Li, Chujie Han, Tao Chen, Haiming Chen, Wenxue Zhong, Qiuping Pei, Jianfei Haenen, Guido R. M. M. Li, Zhengwen Moalin, Mohamed Zhang, Ming Chen, Weijun College of Food Science and Engineering Hainan University Haikou China Department of Pharmacology and Personalized Medicine School of Nutrition and Translational Research in Metabolism (NUTRIM) Cardiovascular Research Institute= Maastricht (CARIM) Faculty of Health Medicine and Life Sciences Maastricht University Maastricht the Netherlands Maritime Academy Hainan Vocational University of Science and Technology Haikou PR China School of Pharmacy Chengdu University Chengdu China Research Centre Material Sciences Zuyd University of Applied Science Heerlen the Netherlands

Dihydroquercetin (DHQ) is a natural occurring dihydroflavonol that has strong antioxidant and antibacterial activities. However, its application is limited due to its poor solubility. This study aims to improve the aqueous solubility of DHQ by complexing DHQ with β-cyclodextrin (β-CD) to boost its biological activity. DHQ was encapsulated with β-CD by freeze drying at a 1:1-M ratio. The structure of DHQ/β-CD complex prepared was elucidated by using Fourier transform infrared spectroscopy, differential scanning calorimetry, X-ray diffraction, scanning electron microscopy, and 1H nuclear magnetic resonance (1H NMR). In addition, molecular docking further revealed two energetically favorable conformations of the DHQ/β-CD complex, in which DHQ interacted with β-CD via hydrogen bonds. Experimental results showed that the solubility of the DHQ increased 22.63-fold by encapsulating with β-CD. Also the dissolution rate, antioxidant activity and antibacterial activity of the DHQ were significantly improved by encapsulating. The encapsulating with β-CD solves the problem of the poor aqueous solubility of DHQ, and broadens the path for a more optimal use of the health promoting effect of DHQ in pharmaceutical and food products.

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Study On Thermal-Hydraulic Characteristics of Co2-Water Printed Circuit Heat Exchanger with Different Structural Parameters

SSRN

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SSRN 2022年

作者： Jin, Feng Chen, Deqi Hu, Lian Huang, Yanping Bu, Shanshan Key Laboratory of Low-grade Energy Utilization Technologies and Systems Chongqing University 400044 China College of Mechanical and Power Engineering Chongqing University of Science and Technology Chongqing 400044 China CNNC Key Laboratory on Nuclear Reactor Thermal Hydraulics Technology Nuclear Power Institute of China Chengdu610041 China

The printed circuit heat exchanger is a promising candidate in supercritical CO 2 Brayton cycle due to its advantages with high compactness and high resistance to pressure and temperature. In this paper, the simulation work validated by experiment are conducted with different pitches (10 mm - 25 mm), zigzag angles (90° -165°) and bend radius (0.2 mm and 7.0 mm) to investigate the thermal-hydraulic characteristics of zigzag channel PCHE using for precooler. Based on the 1/2 pitch-averaged results, it is found that the heat transfer performance and flow resistance change considerably with the variation of zigzag angle and bend radius. Meanwhile, the heat transfer coefficient and friction factor present a fluctuation change in local position. The high correlation is found between separated flow and friction factor based on the analysis of separated flow ratio. Besides, with the comparison of comprehensive factor PEC, the optimal structure of PCHE is inconsistent between the regions near and away from the pseudo-critical. Furthermore, the zigzag angle and bend radius appear to have greater influence than pitch according to the analysis by noise performance statistics (NPS). © 2022, The Authors. All rights reserved.

关键词： Supercritical fluid extraction

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An interpretable deep transfer learning method for fault diagnosis of nuclear power plants under multiple power level conditions

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Annals of nuclear Energy 2025年 222卷

作者： Zhanguo Ma Wenhao Jia Long Tian Jing Cui Dihao Zheng Ziyang Cui School of Automation Harbin University of Science and Technology 150080 Harbin Heilongjiang China Fundamental Science on Nuclear Safety and Simulation Technology Laboratory College of Nuclear Science and Technology Harbin Engineering University 150001 Harbin Heilongjiang China

nuclear power plants (NPPs) operations under different power level conditions (i.e., different operating modes) often exhibit non-independent and identically distributed (non-IID) characteristics in their fault-related parameters, posing significant challenges to traditional data-driven fault diagnosis methods. To address this issue, the study proposes a fault diagnosis approach that combines deep transfer learning with an interpretable multi-variable gated recurrent unit (IMV-GRU) model. The proposed approach incorporates a hybrid loss strategy integrating adaptive focal loss (AFL) and maximum mean discrepancy (MMD) to improve cross-power-level feature transfer capability. The interpretability of IMV-GRU is demonstrated through its autonomous quantification of multi-variable contribution degrees, enabling feature selection to optimize computational efficiency and mitigate interference from non-key variables. Experimental results demonstrate that the proposed method is effective in cross-power-level fault diagnosis, with particularly significant accuracy improvements under sparse data conditions. Furthermore, the effectiveness of extracting multi-variable contribution degrees is validated, highlighting its value in fault diagnosis.

关键词： Fault diagnosis Multiple power level conditions Neural network interpretability Transfer learning

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Search for boosted keV-MeV light dark matter particles from evaporating primordial black holes at the CDEX-10 experiment

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Physical Review D 2023年第5期108卷 052006-052006页

作者： Z. H. Zhang L. T. Yang Q. Yue K. J. Kang Y. J. Li H. P. An Greeshma C. J. P. Chang Y. H. Chen J. P. Cheng W. H. Dai Z. Deng C. H. Fang X. P. Geng H. Gong Q. J. Guo X. Y. Guo L. He S. M. He J. W. Hu H. X. Huang T. C. Huang H. T. Jia X. Jiang S. Karmakar H. B. Li J. M. Li J. Li Q. Y. Li R. M. J. Li X. Q. Li Y. L. Li Y. F. Liang B. Liao F. K. Lin S. T. Lin J. X. Liu S. K. Liu Y. D. Liu Y. Liu Y. Y. Liu Z. Z. Liu H. Ma Y. C. Mao Q. Y. Nie J. H. Ning H. Pan N. C. Qi J. Ren X. C. Ruan Z. She M. K. Singh T. X. Sun C. J. Tang W. Y. Tang Y. Tian G. F. Wang L. Wang Q. Wang Y. F. Wang Y. X. Wang H. T. Wong S. Y. Wu Y. C. Wu H. Y. Xing R. Xu Y. Xu T. Xue Y. L. Yan N. Yi C. X. Yu H. J. Yu J. F. Yue M. Zeng Z. Zeng B. T. Zhang F. S. Zhang L. Zhang Z. Y. Zhang K. K. Zhao M. G. Zhao J. F. Zhou Z. Y. Zhou J. J. Zhu Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics Tsinghua University Beijing 100084 Department of Physics Tsinghua University Beijing 100084 Institute of Physics Academia Sinica Taipei 11529 NUCTECH Company Beijing 100084 YaLong River Hydropower Development Company Chengdu 610051 College of Nuclear Science and Technology Beijing Normal University Beijing 100875 College of Physics Sichuan University Chengdu 610065 School of Physics Peking University Beijing 100871 Department of Nuclear Physics China Institute of Atomic Energy Beijing 102413 Sino-French Institute of Nuclear and Technology Sun Yat-sen University Zhuhai 519082 School of Physics Nankai University Tianjin 300071 Department of Physics Banaras Hindu University Varanasi 221005 Department of Physics Beijing Normal University Beijing 100875

We present novel constraints on boosted light dark matter particles (denoted as “χ”) from evaporating primordial black holes (PBHs) using 205.4 kg·day data from the China Jinping Underground Laboratory’s CDEX-10 p-type point contact germanium detector with a 160 eVee analysis threshold. χ from PBHs with masses ranging from 1×1015 g to 7×1016 g are searched in this work. In the presence of PBH abundance compatible with present bounds, our result excludes the χ-nucleon elastic-scattering cross section region from 3.4×10−32 cm2 to 2.3×10−29 cm2 for χ of 1 keV to 24 MeV from PBHs with masses of 5×1015 g, as well as from 1.1×10−28 cm2 to 7.6×10−28 cm2 for χ of 1 keV to 0.6 MeV from PBHs with masses of 7×1016 g. If the χ-nucleon elastic-scattering cross section can be determined in the future, the abundance of PBHs may be severely constrained by χ evaporation. With the lower threshold (160 eVee) of the CDEX-10 experiment compared to the previously used experiments, this work allows for a better reach at soft spectra produced by heavier PBHs, which demonstrates the vast potential of such a technical route to pursue χ from larger PBHs with a low threshold.

关键词： Particle astrophysics Particle dark matter Weakly interacting massive particles Astronomical black holes Dark matter detectors Solid-state detectors

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Passenger hazard perception based on EEG signals for highly automated driving vehicles

arXiv

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arXiv 2024年

作者： Yu Xuan Tan, Ashton Yang, Yingkai Zhang, Xiaofei Li, Bowen Gao, Xiaorong Zheng, Sifa Wang, Jianqiang Gu, Xinyu Li, Jun Zhao, Yang Zhang, Yuxin Stathaki, Tania Wang, Hong School of Vehicle and Mobility Tsinghua University Beijing100084 China Department of Electrical and Electronic Engineering Imperial College London LondonSW7 2AZ United Kingdom School of Medicine Tsinghua University Beijing100084 China School of Automation Engineering University of Electronic Science and Technology of China Chengdu611731 China State Key Laboratory of Automotive Simulation and Control Jilin University Changchun130025 China

Enhancing the safety of autonomous vehicles is crucial, especially given recent accidents involving automated systems. As passengers in these vehicles, humans’ sensory perception and decision-making can be integrated with autonomous systems to improve safety. This study explores neural mechanisms in passenger-vehicle interactions, leading to the development of a Passenger Cognitive Model (PCM) and the Passenger EEG Decoding Strategy (PEDS). Central to PEDS is a novel Convolutional Recurrent Neural Network (CRNN) that captures spatial and temporal EEG data patterns. The CRNN, combined with stacking algorithms, achieves an accuracy of 85.0%±3.18%. Our findings highlight the predictive power of pre-event EEG data, enhancing the detection of hazardous scenarios and offering a network-driven framework for safer autonomous vehicles. © 2024, CC BY.

关键词： Convolutional neural networks

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