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Electrochemical Hydrogen Charging on Corrosion Behavior of Ti-6Al-4V Alloy in Artificial Seawater

Chinese Journal of Mechanical Engineering 2024年第1期37卷 296-308页

作者： Yanxin Qiao Yue Qin Huiling Zhou Lanlan Yang Xiaojing Wang Zhengbin Wang Zhenguang Liu Jiasheng Zou School of Materials Science and Engineering Jiangsu University of Science and TechnologyZhenjiang 212003China Yangzhou Changelight Co. LtdYangzhou 225012China CAS Key Laboratory of Nuclear Materials and Safety Assessment Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China

This study employs advanced electrochemical and surface characterization techniques to investigate the impact of electrochemical hydrogen charging on the corrosion behavior and surface film of the Ti-6Al-4V *** findings revealed the formation ofγ-TiH andδ-TiH_(2) hydrides in the alloy after hydrogen *** hydrogen charging resulted in more significant degradation of the alloy microstructure,leading to deteriorated protectiveness of the surface *** trend was further confirmed by the electrochemical measurements,which showed that the corrosion resistance of the alloy progressively worsened as the hydrogen charging time was ***,this work provides valuable insights into the mechanisms underlying the corrosion of Ti-6Al-4V alloy under hydrogen charging conditions.

关键词： Ti-6Al-4V alloy Hydrogen charging Electrochemical corrosion Passive film

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Unusual metallic state in superconducting A15-type La4H23

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National science Review 2024年第12期11卷 94-103页

作者： Jianning Guo Dmitrii Semenok Grigoriy Shutov Di Zhou Su Chen Yulong Wang Kexin Zhang Xinyue Wu Sven Luther Toni Helm Xiaoli Huang Tian Cui State Key Laboratory of Superhard Materials College of Physics Jilin University Center for High Pressure Science and Technology Advanced Research (HPSTAR) Department of High-Temperature Superconductivity Skolkovo Institute of Science and Technology Skolkovo Innovation CenterComputational and Data Science and Engineering HochfeldMagnetlabor Dresden(HLD-EMFL) and Würzburg-Dresden Cluster of Excellence Helmholtz-Zentrum Dresden-Rossendorf(HZDR) School of Physical Science and Technology Ningbo University

Hydride superconductors continue to fascinate the communities of condensed matter physics and material scientists because they host the promising near room-temperature superconductivity. Current research has concentrated on the new hydride superconductors with the enhancement of the superconducting transition temperature（Tc）. The multiple extreme conditions（high pressure/temperature and magnetic field） will introduce new insights into hydride superconductors. The study of transport properties under very high magnetic fields facilitates the understanding of superconductivity in conventional hydride *** the present work, we report experimental evidence of an unusual metal state in a newly synthesized cubic A15-type La4H23that exhibits superconductivity with a Tc reaching 105 K at 118 GPa. A large negative magnetoresistance is observed in strong pulsed magnetic fields in the non-superconducting state of this compound below 40 K. Moreover, we construct the full magnetic phase diagram of La4H23up to 68 T at high pressure. The present work reveals anomalous electronic structural properties of A15-La4H23under high magnetic fields, and therefore has great importance with regard to advancing the understanding of quantum transport behaviors in hydride superconductors.

关键词： high-pressure superconductivity hydrides negative magnetoresistance

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Spatial and temporal evolution of electromagnetic pulses from solid target irradiated with multi-hundred-terawatt laser pulse inside target chamber

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Plasma science and technology 2024年第2期26卷 62-69页

作者：何强友邓志刚张智猛夏亚东张博孟令彪贺书凯黄华杨雷刘红杰范伟林晨周维民李廷帅颜学庆 State Key Laboratory of Nuclear Physics and Technology and Key Laboratory of HEDP of the Ministry of EducationCAPTPeking UniversityBeijing 100871People's Republic of China Science and Technology on Plasma Physics Laboratory Research Center of Laser FusionChina Academy of Engineering PhysicsMianyang 621900People's Republic of China School of Materials and Energy University of Electronic Science and Technology of ChinaChengdu 611731People's Republic of China Beijing Laser Acceleration Innovation Center Beijing 101400People's Republic of China

Giant electromagnetic pulses(EMPs) induced by high-power laser irradiating solid targets interfere with various experimental diagnoses and even damage equipment,so unveiling the evolution of EMPs inside the laser chamber is crucial for designing effective EMP *** this work,the transmission characteristics of EMPs as a function of distances from the target chamber center(TCC) are studied using B-dot *** mean EMP amplitude generated by picosecond laser-target interaction reaches 561 kV m^(-1),357 kV m^(-1),395 kV m^(-1),and 341 kV m^(-1)at 0.32 m,0.53 m,0.76 m,and 1 m from TCC,which decreases dramatically from 0.32 m to 0.53 ***,it shows a fluctuation from 0.53 m to 1 *** temporal features of EMPs indicate that time-domain EMP signals near the target chamber wall have a wider full width at half maximum compared to that close to TCC,mainly due to the echo oscillation of electromagnetic waves inside the target chamber based on simulation and *** conclusions of this study will provide a new approach to mitigate strong electromagnetic pulses by decreasing the echo oscillation of electromagnetic waves inside the target chamber during laser coupling with targets.

关键词： target electromagnetic pulses spatial distribution

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Experimental studies on the propagation of whistler-mode waves in a magnetized plasma structure with a non-uniform density

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Plasma science and technology 2023年第9期25卷 68-72页

作者：桑龙龙陆全明谢锦林张乔枫丁卫星柯阳光高新亮郑坚 Deep Space Exploration Laboratory School of Earth and Space SciencesUniversity of Science and Technology of ChinaHefei 230026People’s Republic of China CAS Center for Excellence in Comparative Planetology CAS Key Laboratory of Geospace EnvironmentUniversity of Science and Technology of ChinaHefei 230026People’s Republic of China Collaborative Innovation Center of Astronautical Science and Technology Harbin 150001People’s Republic of China CAS Key Laboratory of Geospace Environment School of Nuclear Science and TechnologyUniversity of Science and Technology of ChinaHefei 230026People’s Republic of China

Propagation of whistler-mode waves in a magnetized plasma structure is investigated in the Keda linear magnetized plasma *** magnetized plasma structure has its density peak in the center,and the background magnetic field is homogeneous along the axial direction.A whistlermode wave with a frequency of 0.3 times of electron cyclotron frequency(fce)is launched into the plasma *** wave normal angle(WNA)is about 25°,and the wavefront exhibits a wedge *** propagation of the whistler wave,both the propagating angle and WNA slowly approach zero,and then the wave is converged toward the center of the ***,the wave tends to be trapped in the plasma *** results present observational evidence of the propagation of a whistler-mode wave trapped in the enhanced-density structure in a laboratory *** trapping effect is consistent with satellite observations in the inner magnetosphere.

关键词： whistler wave laboratory plasma density duct

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Class-Incremental Few-Shot Event Detection 30

Class-Incremental Few-Shot Event Detection

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Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024

作者： Zhao, Kailin Jin, Xiaolong Bai, Long Guo, Jiafeng Cheng, Xueqi Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences China School of Computer Science and Technology University of Chinese Academy of Sciences China

ISBN: (纸本)9782493814104

Event detection is one of the fundamental tasks in information extraction and knowledge graph. However, a realistic event detection system often needs to deal with new event classes constantly. These new classes usually have only a few labeled instances as it is time-consuming and labor-intensive to annotate a large number of unlabeled instances. Therefore, this paper proposes a new task, called class-incremental few-shot event detection. Nevertheless, this task faces two problems, i.e., old knowledge forgetting and new class overfitting. To solve these problems, this paper further presents a novel knowledge distillation and prompt learning based method, called Prompt-KD. Specifically, to handle the forgetting problem about old knowledge, Prompt-KD develops an attention based multi-teacher knowledge distillation framework, where the ancestor teacher model pre-trained on base classes is reused in all learning sessions, and the father teacher model derives the current student model via adaptation. On the other hand, in order to cope with the few-shot learning scenario and alleviate the corresponding new class overfitting problem, Prompt-KD is also equipped with a prompt learning mechanism. Extensive experiments on two benchmark datasets, i.e., FewEvent and MAVEN, demonstrate the superior performance of Prompt-KD. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.

关键词： Distillation

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Exploring the impact of anti-shadowing effect on unintegrated gluon distributions in the MD-BFKL equation

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Chinese Physics C 2024年第9期48卷 126-132页

作者： Xiaopeng Wang Yanbing Cai Xurong Chen Institute of Modern Physics Chinese Academy of SciencesLanzhou 730000China School of Nuclear Science and Technology Lanzhou UniversityLanzhou 730000China School of Nuclear Science and Technology University of Chinese Academy of SciencesBeijing 100049China Guizhou Key Laboratory in Physics and Related Areas Guizhou University of Finance and EconomicsGuiyang 550025China Southern Center for Nuclear-Science Theory(SCNT) Institute of Modern PhysicsChinese Academy of SciencesHuizhou 516000China

This paper presents a comprehensive analysis of the MD-BFKL equation,considering both shadowing and anti-shadowing effects in gluon recombination *** deriving analytical expressions for unintegrated gluon distributions through the solution of the MD-BFKL equation,with and without the incorporation of the antishadowing effect,we offer new insights into the influence of these effects on the behavior of unintegrated gluon *** results,when compared to those from the CT18NLO gluon distribution function,demonstrate that the anti-shadowing effect has a notably stronger impact on the characteristics of unintegrated gluon distributions,particularly in regions of high rapidity and *** work significantly contributes to the understanding of gluon recombination mechanisms and their implications in high energy physics.

关键词： MD-BFKL equation analytic solution anti-shadowing effect

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Understanding and improving fairness in cognitive diagnosis

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science China(Information sciences) 2024年第5期67卷 99-114页

作者： Zheng ZHANG Le WU Qi LIU Jiayu LIU Zhenya HUANG Yu YIN Yan ZHUANG Weibo GAO Enhong CHEN Anhui Province Key Laboratory of Big Data Analysis and Application School of Computer Science and Technology& School of Data Science University of Science and Technology of China State Key Laboratory of Cognitive Intelligence School of Computer Science and Information Engineering Hefei University of Technology

Intelligent education is a significant application of artificial intelligence. One of the key research topics in intelligence education is cognitive diagnosis, which aims to gauge the level of proficiency among students on specific knowledge concepts(e.g., Geometry). To the best of our knowledge, most of the existing cognitive models primarily focus on improving diagnostic accuracy while rarely considering fairness issues; for instance, the diagnosis of students may be affected by various sensitive attributes(e.g., region). In this paper,we aim to explore fairness in cognitive diagnosis and answer two questions:(1) Are the results of existing cognitive diagnosis models affected by sensitive attributes?(2) If yes, how can we mitigate the impact of sensitive attributes to ensure fair diagnosis results? To this end, we first empirically reveal that several wellknown cognitive diagnosis methods usually lead to unfair performances, and the trend of unfairness varies among different cognitive diagnosis models. Then, we make a theoretical analysis to explain the reasons behind this phenomenon. To resolve the unfairness problem in existing cognitive diagnosis models, we propose a general fairness-aware cognitive diagnosis framework, FairCD. Our fundamental principle involves eliminating the effect of sensitive attributes on student proficiency. To achieve this, we divide student proficiency in existing cognitive diagnosis models into two components: bias proficiency and fair *** design two orthogonal tasks for each of them to ensure that fairness in proficiency remains independent of sensitive attributes and take it as the final diagnosed result. Extensive experiments on the Program for International Student Assessment(PISA) dataset clearly show the effectiveness of our framework.

关键词： fairness intelligent education cognitive diagnosis psychometrics adversarial learning

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Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling 24

Enhancing Fairness in Meta-learned User Modeling via Adaptiv...

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33rd ACM Web Conference, WWW 2024

作者： Zhang, Zheng Liu, Qi Hu, Zirui Zhan, Yi Huang, Zhenya Gao, Weibo Mao, Qingyang School of Computer Science and Technology University of Science and Technology of China State Key Laboratory of Cognitive Intelligence Hefei China School of Data Science University of Science and Technology of China State Key Laboratory of Cognitive Intelligence Hefei China School of Computer Science and Technology University of Science and Technology of China Institute of Artificial Intelligence Hefei Comprehensive National Science Center State Key Laboratory of Cognitive Intelligence Hefei China

ISBN: (纸本)9798400701719

Meta-learning has been widely employed to tackle the cold-start problem in user modeling. Similar to a guidebook for a new traveler, meta-learning significantly affects decision-making for new users in crucial scenarios, such as career recommendations. Consequently, the issue of fairness in meta-learning has gained paramount importance. Several methods have been proposed to mitigate unfairness in meta-learning and have shown promising results. However, a fundamental question remains unexplored: What is the critical factor leading to unfairness in meta-learned user modeling? Through the theoretical analysis that integrates the meta-learning paradigm with group fairness metrics, we identify group proportion imbalance as a critical factor. Subsequently, in order to mitigate the impact of this factor, we introduce a novel Fairness-aware Adaptive Sampling framework for meTa-learning, abbreviated as FAST. Its core concept involves adaptively adjusting the sampling distribution for different user groups during the interleaved training process of meta-learning. Furthermore, we provide theoretical guarantees demonstrating the convergence of FAST. Finally, empirical experiments conducted on three datasets reveal that FAST effectively enhances fairness while maintaining high accuracy. The code for FAST is available at https://***/zhengz99/FAST. © 2024 Owner/Author.

关键词： Decision making

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Investigation on influence of gamma irradiation on piezoelectric and resonance characteristics of surface acoustic wave resonators 5

Investigation on influence of gamma irradiation on piezoelec...

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5th International Conference on Mechanical Engineering and Materials, ICMEM 2024

作者： Sun, Lei Peng, Bin Yang, Yuntao Sun, Zhaofeng Zhu, Jialiang Zhang, Wanli State Key Laboratory of Electronic Thin Films and Integrated Devices University of Electronic Science and Technology of China Chengdu China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu China

ISBN: (数字)9781510688971

ISBN: (纸本)9781510688964

In this work, an evaluation towards influence of high-dose gamma irradiation on surface acoustic wave (SAW) resonators, is reported. The single-port SAW resonators are fabricated using Lithium niobate (LiNbO3) and Catangasite (CTGS, Ca3TaGa3Si2O14) substrates, along respective cut directions of (0º, 38º, 0º) and (0º, 90º, 0º). Piezoelectric coefficient of substrates, and several main resonance parameters covering resonance frequency, amplitude of resonance peak in reflection coefficient, quality factor together with electromechanical coupling factor of manufactured SAW resonators are investigated, as suitable representatives of piezoelectric and resonance characteristics of SAW resonators. After exposure to gamma ray with a maximum dose of 250 kGy, substrates show insignificant variation not exceeding 6% in their piezoelectric coefficient. Meanwhile, resonance parameters of SAW resonators also alter slightly. Such excellent stability of these characteristics demonstrates credible irradiation hardness owned by both SAW resonators. Results in this study can provide supportive references for usage of LiNbO3 and CTGS-based SAW devices in harsh environments. © 2025 SPIE.

关键词： Gamma rays

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Non-Intrusive Load Event Identification Algorithm Based on Color Coding

Journal of Network Intelligence

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Journal of Network Intelligence 2024年第2期9卷 1019-1031页

作者： Hu, Wen-Yu Li, Guo-Nong College of Computer Science and Mathematics Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology Xuefu South Road Fujian Province Fuzhou City350118 China

Non-invasive load monitoring (NILM) can help residents monitor the operation of household appliances and achieve the purpose of energy conservation and emission reduction. Load event identification is a key task of non-intrusive load monitoring. In order to enrich the characteristics of load events and improve the identification accuracy of load events, a load event identification algorithm based on color coding (CCA) is proposed. On the basis of retaining the basic waveform of active power, the three characteristics of active power (R), reactive power (G) and reactive power change trend (B) are fused to construct the color image of load events, and the image is trained and rec-ognized based on the AlexNet convolutional neural network with parameter adjustment. The experimental results show that this load event identification algorithm can stably and effectively distinguish the load events of different devices. Compared with three commonly used classifiers, the results show that this algorithm is superior to the traditional event classification algorithm based on power sequence. © 2016, J. Network Intell. All rights reserved.

关键词： Reactive power

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