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Structure and motifs of iron oxides from 1 to 3 TPa

Physical Review Materials 2022年第4期6卷 043602-043602页

作者： Feng Zheng Yang Sun Renhai Wang Yimei Fang Feng Zhang Bo Da Shunqing Wu Cai-Zhuang Wang Renata M. Wentzcovitch Kai-Ming Ho Department of Physics OSED Key Laboratory of Low Dimensional Condensed Matter Physics (Department of Education of Fujian Province) Jiujiang Research Institute Xiamen University Xiamen 361005 China Department of Applied Physics and Applied Mathematics Columbia University New York New York 10027 USA School of Physics and Optoelectronic Engineering Guangdong University of Technology Guangzhou 510006 China Department of Physics Iowa State University Ames Iowa 50011 USA Research and Services Division of Materials Data and Integrated System National Institute for Materials Science 1-1 Namiki Tsukuba Ibaraki 305-0044 Japan Department of Earth and Environmental Sciences Columbia University New York New York 10027 USA Lamont–Doherty Earth Observatory Columbia University Palisades New York 10964 USA

Iron oxides are fundamental components of planet-forming materials. Understanding the Fe-O system's behavior and properties under high pressure can help us identify many new phases and states possible in exoplanetary interiors, especially terrestrial ones. Using the adaptive genetic algorithm, we investigate the structure of iron oxides for a wide range of stoichiometries (0.25≤xO≤0.8) at 1, 2, and 3 TPa. Five ground-state structures with Fe2O, FeO, Fe3O5, FeO2, and FeO4 compositions are identified. Phonon calculations confirm their dynamical stability. The ab initio molecular dynamics simulations confirm the thermal stability of Fe-rich phases at high temperatures. The calculated density of states suggests that, except for FeO4, all phases are metallic, but their carrier densities decrease with increasing pressure and oxygen content. The cluster alignment analysis of stable and metastable phases shows that several motifs may coexist in a structure of iron oxides with low O content. In contrast, most iron oxides with high O content adopt a simple bcc motif at TPa pressures. Our results provide a crystal structure database of iron oxides for modeling and understanding the interiors of exoplanets.

关键词： Crystal structure Pressure effects Structural phase transition First-principles calculations Genetic algorithm

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A broadcasting multiple blind signature scheme based on quantum GHZ entanglement

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International Journal of Modern Physics: Conference Series 2014年第33期ijmpcs卷

作者： Yuan Tian Hong Chen Yan Gao Honglin Zhuang Haigang Lian Zhengping Han Peng Yu Xiangze Kong Xiaojun Wen Key Laboratory of Data Engineering and Knowledge Engineering China (Remin University of China) of Ministry of Education Beijing 100872 China School of Information Renmin University of China Beijing 100872 China China Computer User Association Information Protection Branch Beijing 100089 China School of Computer Science and Engineering Beihang University Beijing 100083 China School of Electronics & Information Engineering Shenzhen Polytechnic Shenzhen 518055 China

Using the correlation of the GHZ triplet states, a broadcasting multiple blind signature scheme is proposed. Different from classical multiple signature and current quantum signature schemes, which could only deliver either multiple signature or unconditional security, our scheme guarantees both by adopting quantum key preparation, quantum encryption algorithm and quantum entanglement. Our proposed scheme has the properties of multiple signature, blindness, non-disavowal, non-forgery and traceability. To the best of our knowledge, we are the first to propose the broadcasting multiple blind signature of quantum cryptography.

关键词： Broadcasting multiple blind signature quantum encryption algorithm quantum entanglement quantum cryptography

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Emitted secondary Electrons: In vacuo plasmon energy gain observation using a Three-Point probe method

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Applied Surface Science 2022年 596卷

作者： Da, B. Liu, X. Gong, J.M. Zhang, Z.H. Ding, Z.J. Cuong, N.T. Hu, J. Liu, J.W. Gao, Z.S. Guo, H.X. Wang, H.X. Zhang, H. Harada, Y. Yoshikawa, H. Tanuma, S. Research and Services Division of Materials Data and Integrated Systems National Institute for Materials Science 1-1 Namiki Ibaraki Tsukuba305-0044 Japan Research Center for Advanced Measurement and Characterization National Institute for Materials Science 1-1 Namiki Ibaraki Tsukuba305-0044 Japan Department of Physics University of Science and Technology of China Auhui Hefei230026 China National Institute for Materials Science Ibaraki Tsukuba305-0044 Japan National Institute for Materials Science Ibaraki Tsukuba305-0044 Japan Department of Physics and Institute for Nanoscience and Engineering University of Arkansas FayettevilleAR72701 United States Research Center for Functional Materials National Institute for Materials Science 1-1 Namiki Ibaraki Tsukuba305-0044 Japan Institute of Electrical Engineering Chinese Academy of Sciences Beijing100190 China Key Laboratory of MEMS of Ministry of Education School of Electronic Science and Engineering Southeast University Nanjing210096 China

A surface plasmon energy gain for emitted secondary electrons (SEs) was recently observed in SE spectroscopy measurements from a tailor-made nanostructured Au specimen as a satellite on the high energy side of the vacuum level. However, thus far, this plasmon energy gain phenomenon has been observed only for Au samples because surface plasmons in Au arise at 2.3 eV, which is relatively far from the strong background cascade peak of SEs. Here, we report a brand-new three-point probe method, for enlarging the surface plasmon energy gain structure in SE spectra. Using this scheme, three different SE energy spectra were measured from nanostructured samples of Au and Ag. By combining their spectra, the surface plasmon energy gain structure of Au and Ag can be clearly observed. The observed structures revealed that the plasmon energy gain process for SEs contributing to a potentially observable feature in a spectrum occurs only in vacuum above the sample surface and is naturally related only to surface plasmons. This unusual plasmon energy gain phenomenon observed by the three-point probe method suggests the potential for development of a new physical image directly in space based on surface plasmons in vacuum above the surface of a medium. © 2022 Elsevier B.V.

关键词： Monte Carlo methods

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Linked data Crowdsourcing Quality Assessment based on Domain Professionalism

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Journal of Physics: Conference Series 2019年第5期1187卷

作者： Lu Yang Li Huang Zhenzhen Liu School of Computer Science and Technology Wuhan University of Science and Technology Wuhan 430065 China Key Laboratory of Intelligent Information Processing and Real-time Industrial System in Hubei Province Wuhan 430065 China Institute of Big Data Science and Engineering Wuhan University of Science and Technology Wuhan 430065 China Key Laboratory of Rich-media Knowledge Organization and Service of Digital Publishing Content National Press and Publication Administration Beijing 100038 China

With the rapid development of Internet technology, crowdsourcing, as a flexible, effective and low-cost problem-solving method, has begun to receive more and more attention. The use of crowdsourcing to evaluate the quality of linked data has also become a research hotspot. This paper proposes the concept of Domain Specialization Test (DST), which uses domain professional testing tasks DSTs to evaluate the professionalism of workers, and combines the idea of Mini-batch Gradient Descent (MBGD) to improve the EM algorithm, and the MBEM algorithm is proposed to achieve efficient and accurate evaluation of task results. The experimental results show that the proposed method can screen out the appropriate workers for the linked data crowdsourcing task and improve the accuracy and iteration efficiency of the results.

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Emergency Event Matching using Hierarchical Blocking Method

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Journal of Physics: Conference Series 2019年第5期1187卷

作者： Chang Wen Yu Liu College of Computer Science and Technology Wuhan University of Science and Technology Wuhan 430065 China Key Laboratory of Intelligent Information Processing and Real-time Industrial System in Hubei Province Wuhan 430065 China Institute of Big Data Science and Engineering Wuhan University of Science and Technology Wuhan 430065 China Key Laboratory of Rich-media Knowledge Organization and Service of Digital Publishing Content National Press and Publication Administration Beijing 100038 China

With the extensive application of the knowledge base (KB), how to complete it is a hot topic on Semantic Web. However, many problems go with the big data, and the event matching is one of these problems, which is finding out the entities referring to the same things in the real world and also the key point in the extending process. To enrich the emergency knowledge base (E-SKB) we constructed before, we need to filter out the news from several web pages and find the same news to avoid data redundancy. In this paper, we proposed a hierarchy blocking method to reduce the times of comparisons and narrow down the scope by extracting the news properties as the blocking keys. The method transforms the event matching problem into a clustering problem. Experimental results show that the proposed method is superior to the existing text clustering algorithm with high precision and less comparison times.

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基于主题语义的非合作结构化Top-N深网数据源选择

基于主题语义的非合作结构化Top-N深网数据源选择

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第29届中国数据库学术会议

作者： Deng Song 邓松 Wan Changxuan 万常选 Liu Xiping 刘喜平 Jiang Tengjiao 江腾蛟 Lei Gang 雷刚 School of Information and Technology Jiangxi University of Finance and Economics Nanchang 330013 江西财经大学信息管理学院南昌 330013 Jiangxi Key Laboratory of Data and Knowledge Engineering Jiangxi University of Finance and Economic 江西财经大学数据与知识工程江西省高校重点实验室南昌 330013

高效且准确地找出存在于深网中的与用户查询意图最相关的Top-N元组，是深网数据集成中的关键问题。针对数据源内容概括未见成果的现状，本文提出了一种能够有效概括非数字、非离散属性特征的非合作结构化深网数据源摘要构建方法。利用... 详细信息

高效且准确地找出存在于深网中的与用户查询意图最相关的Top-N元组，是深网数据集成中的关键问题。针对数据源内容概括未见成果的现状，本文提出了一种能够有效概括非数字、非离散属性特征的非合作结构化深网数据源摘要构建方法。利用主题词抽样，依据主题语义选择与主题词相关的特征词，通过主题词及特征词构建数据源语义摘要。实验结果表明与传统的基于词频的方法相比较，该方法在召回率及准确度方面均有较大幅度的提升。

关键词：深网数据集成检索系统优化设计信息提取主题语义

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Comprehensive Theoretical Quantification of Secondary Electron Emission from Silicon

SSRN

引用

SSRN 2023年

作者： Khan, Muhammad Saadat Shakoor Mao, Shifeng Zou, Yanbo Lu, Dabao Da, Bo Li, Yonggang Ding, Zejun Department of Physics University of Science and Technology of China Anhui Hefei230026 China Hefei National Research Center for Physical Sciences at the Microscale University of Science and Technology of China Anhui Hefei230026 China Department of Nuclear Science and Engineering University of Science and Technology of China Anhui Hefei230026 China School of Physics and Electronic Engineering Xinjiang Normal University Xinjiang Urumchi830054 China Microscope Science and Technology Limited Anhui Hefei230093 China Research and Services Division of Materials Data and Integrated System National Institute for Materials Science 1-1 Namiki Ibaraki Tsukuba305-0044 Japan Research Center for Advanced Measurement and Characterization National Institute for Materials Science 1-2-1 Sengen Ibaraki Tsukuba305-0047 Japan Key Laboratory of Materials Physics Insititute of Solid State Physics Chinese Academy of Sciences Anhui Hefei230031 China

Though intensive experimental studies have been carried out on electron emission properties in past decades, the reliable data from accurate experimental measurements for clean and smooth surfaces are still quite limited. In this work, we have performed a comprehensive Monte Carlo simulation of electron emission yields, the secondary electron yield (SEY,δ), backscattered electron coefficient (BSC,η) and total electron yield (TEY,σ=δ+η), from silicon and the uncertainty quantification of the theoretical calculation results for the first time. The considered uncertainty factors in the physical modelling include work function data, optical energy loss function data, dielectric function models for electron inelastic scattering and the scattering potentials for electron elastic scattering. The calculation results show that δ is significantly influenced by the work function while the dielectric function model has a slight effect. Elastic scattering potential and energy loss function affects both δ and η. Our simulatedσ η data agree with most of the experimental measurements while the simulated mean σ data are well below most of the experimental data. The experimental σ data measured by Goto lie within the uncertainty range of our simulation results. This work has provided sufficient ground for the necessity of building a theoretical database of electron emission yield. © 2023, The Authors. All rights reserved.

关键词： Silicon

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Cross-Modulated Amplitudes and Frequencies of Epileptic EEG

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Journal of Physics: Conference Series 2019年第3期1302卷

作者： Yujie Cai Jiafei Dai Jin Li Jun Wang Fengzhen Hou Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province Nanjing University of Posts and Telecommunications Nanjing 210003 China Nanjing General Hospital of Nanjing Military Command Nanjing China College of Physics and Information Technology Shaanxi Normal University Xi'an China Key Laboratory of Biomedical Functional Materials China Pharmaceutical University Nanjing China

Epilepsy is a neural disorder with the hallmark of recurrent seizures. To characterize the epileptic brain electrical activities, we employed the cross modulation of instantaneous amplitudes and frequencies to separate synchronous and anti-synchronous modulation. Amplitude-amplitude, amplitude-frequency and frequency-frequency cross modulation were adopted to analyse the difference between EEG signal of epileptic patients and that of normal people. By comparing the observed patterns with two groups of EEG signals we demonstrate that the cross-modulation exponentials at the temporal region and the occipital region of right hemisphere are significant different.

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DefendFL: A Privacy-Preserving Federated Learning Scheme Against Poisoning Attacks

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IEEE Transactions on Neural Networks and Learning Systems 2024年第5期PP卷 9098-9111页

作者： Liu, Jiao Li, Xinghua Liu, Ximeng Zhang, Haiyan Miao, Yinbin Deng, Robert H Xidian University State Key Laboratory of Integrated Services Networks School of Cyber Engineering Xi’an710071 China AVIC Xi’an Aeronautics Computing Technique Research Institute Xi’an710068 China Fuzhou University College of Computer and Data Science Fuzhou350116 China Singapore Management University School of Information Systems 81 Victoria St 178902 Singapore

Federated learning (FL) has become a popular mode of learning, allowing model training without the need to share data. Unfortunately, it remains vulnerable to privacy leakage and poisoning attacks, which compromise user data security and degrade model quality. Therefore, numerous privacy-preserving frameworks have been proposed, among which mask-based framework has certain advantages in terms of efficiency and functionality. However, it is more susceptible to poisoning attacks from malicious users, and current works lack practical means to detect such attacks within this framework. To overcome this challenge, we present DefendFL, an efficient, privacy-preserving, and poisoning-detectable mask-based FL scheme. We first leverage collinearity mask to protect users' gradient privacy. Then, cosine similarity is utilized to detect masked gradients to identify poisonous gradients. Meanwhile, a verification mechanism is designed to detect the mask, ensuring the mask's validity in aggregation and preventing poisoning attacks by intentionally changing the mask. Finally, we resist poisoning attacks by removing malicious gradients or lowering their weights in aggregation. Through security analysis and experimental evaluation, DefendFL can effectively detect and mitigate poisoning attacks while outperforming existing privacy-preserving detection works in *** learning (FL) has become a popular mode of learning, allowing model training without the need to share data. Unfortunately, it remains vulnerable to privacy leakage and poisoning attacks, which compromise user data security and degrade model quality. Therefore, numerous privacy-preserving frameworks have been proposed, among which mask-based framework has certain advantages in terms of efficiency and functionality. However, it is more susceptible to poisoning attacks from malicious users, and current works lack practical means to detect such attacks within this framework. To overcome this challenge, we prese

关键词： Federated learning

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Research on the MEG of depression patients based on multivariate TE partial information decomposition

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IOP Conference Series: Materials Science and engineering 2020年第5期768卷

作者： Zihan Chen Yunjie Fang Wei Yan Jun Wang Jin Li Fengzhen Hou Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province Nanjing University of Posts and Telecommunications Nanjing China Department of Psychiatry The Affiliated Brain Hospital of Nanjing Medical University Nanjing China College of Physics and Information Technology Shaanxi Normal University Xi'an China Key Laboratory of Biomedical Functional Materials China Pharmaceutical University Nanjing 210009 China

Transfer entropy (TE) has been broadly used in the field of neurosciences. In this paper, the partial information decomposition algorithm is employed to decompose multivariate TE into synergistic, redundant and unique parts. In this work, the synergistic part is believed as more suitable as the computation method. We recorded the magnetoencephalogram (MEG) data of 6 subjects with depression and 13 normal subjects under different emotional stimulations, and studied the coupling between multiple symmetric channels in the frontal area in the brain of subject. The experimental results show that under different emotional stimulations, normal people present significant difference from the depression patients, especially in the right frontal area. Furthermore, under negative emotional stimulation, the difference in synergistic value between normal people and depression patients is smaller. The synergistic value of depression patients has become bigger, which indicates that the brain complexity of depression patients has grown, and their brain activities have increased.

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