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Escape probability for isotropic emitters near Kerr black hole with astrometric

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Communications in Theoretical Physics 2024年第5期76卷 128-133页

作者： Yu-xuan Han Qing-Hua Zhu Qing-Guo Huang CAS Key laboratory of Theoretical Physics Institute of Theoretical PhysicsChinese Academy of SciencesBeijing 100190China School of Physical Sciences University of Chinese Academy of SciencesNo.19A Yuquan RoadBeijing 100049China Department of Physics Chongqing UniversityChongqing 401331China School of Fundamental Physics and Mathematical Sciences Hangzhou Institute for Advanced Study UCASHangzhou 310024China

The paper investigates the escape probability for isotropic emitters near a Kerr black *** propose a new approach to obtain the escape probability in a general manner,going beyond previous case-by-case *** approach is based on studies of the black hole shadow with astrometric observable and can be applied to emitters with an arbitrary 4-velocities and locations,even to the emitters outside of the equatorial *** also consider representative examples illustrating how escape probabilities vary with distance,velocity,and inclination ***,this new approach provides an effective method for studying escape probabilities near Kerr black holes.

关键词： Kerr black hole photon escape probability isotropic emitters

Construction of Cu-Zn Co-doped layered materials for sodium-ion batteries with high cycle stability

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Chinese Chemical letters 2024年第5期35卷 441-446页

作者： Xiping Dong xuan Wang Zhixiu lu Qinhao Shi Zhengyi Yang xuan Yu Wuliang Feng Xingli Zou Yang liu Yufeng Zhao Institute for Sustainable Energy&College of Sciences Shanghai UniversityShanghai 200444China Key laboratory for Advanced Technology in Environmental Protection of Jiangsu Province Yancheng Institute of TechnologyYancheng 224051China State Key laboratory of Advanced Special Steel&Shanghai Key laboratory of Advanced Ferrometallurgy&School of Materials Science and Engineering Shanghai UniversityShanghai 200444China

Due to its high operational voltage and energy density,P2-type Na_(0.67)Ni_(0.3)Mn_(0.7)O_(2) has become a leading cathode material for sodium-ion batteries(SIBs),which is an ideal option for large-scale energy ***,the practical application of P2-type Na_(0.67)Ni_(0.3)Mn_(0.7)O_(2) is limited by the capacity constraints and unwanted phase transitions,presenting significant challenges to the widespread application of *** address these challenges and optimize the electrochemical properties of the P2 phase cathode material,this study proposes a Cu and Zn co-doped strategy to improve the electrochemical *** incorporation of Cu/Zn can stabilize the P2-phase structure against P2-O2 phase transitions,thus enhancing its electrochemical *** as-obtained P2-type Na0.67[Ni_(0.3)Mn_(0.58)Cu_(0.09)Zn_(0.03)]O_(2) cathode material shows an impressive cycling stability,maintaining 80%capacity retention after 1000 cycles at 2 *** cyclic voltammetry(CV)tests show that the Cu^(2+)/Cu^(3+)redox reaction is also involved in charge compensation during the charge/discharge process.

关键词： Sodium-ion batteries Cathode material Cycle performance Cu/Zn co-doped P2-type Na_(0.67)Ni_(0.3)Mn_(0.7)O_(2)

HeterMM: applying in-DRAM index to heterogeneous memory-based key-value stores

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Frontiers of Computer Science 2024年第4期18卷 215-217页

作者： Yunhong JI Wentao HUANG xuan ZHOU School of Information Renmin University of ChinaBeijing 100872China School of Computing National University of SingaporeSingapore 117417Singapore School of Data Science and Engineering East China Normal UniversityShanghai 200062China

1 Introduction Emerging byte-addressable storage technologies,such as NVM(Non-Volatile Memory),provide a more cost-effective and larger-capacity alternative to DRAM(Dynamic Random Access Memory)[1],presenting new opportunities to address the high cost,limited capacity,and volatility of in-memory key-value(KV)*** efforts have been dedicated to redesigning conventional structures on ***,they were challenged by the substantial engineering cost and increased complexity to be integrated into existing ***,a general framework to apply existing indexes to KV stores on NVM becomes more attractive[2].

关键词： stores applying value

The Frontiers in Manufacturing Technologies Initiative and University Innovation

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China & World Economy 2024年第5期32卷 197-225页

作者： xuan leng Yichuan Zhang China Center for Special Economic Zone Research Shenzhen UniversityChina School of Government Sun Yat-sen UniversityChina

Basic innovation,with universities as a key driver,is essential for advancing core technologies in the manufacturing *** study used a manufacturing technologies initiative as a natural experiment,combining funding and its outcomes data from the National Natural Science Foundation of China to construct a difference-in-differences *** found that the Frontiers in Manufacturing Technologies Initiative had a positive effect on university innovation,particularly by increasing the number of university *** analysis showed that the policy mainly encouraged university innovation through university-industry *** effect was more salient in universities with stronger basic research capabilities and those whose research fields matched strategic emerging industries covered by the *** study underscores the crucial role of the Frontiers in Manufacturing Technologies Initiative in enhancing university-led *** highlights the effectiveness of industry-academia partnerships in advancing technology,particularly in emerging strategic industries.

关键词： industry policy joint innovation university-industry collaboration university innovation

A multiscale adaptive framework based on convolutional neural network: Application to fluid catalytic cracking product yield prediction

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Petroleum Science 2024年第4期21卷 2849-2869页

作者： Nan liu Chun-Meng Zhu Meng-xuan Zhang Xing-Ying lan State Key laboratory of Heavy Oil Processing China University of Petroleum (Beijing) College of Artificial Intelligence China University of Petroleum (Beijing)

Since chemical processes are highly non-linear and multiscale, it is vital to deeply mine the multiscale coupling relationships embedded in the massive process data for the prediction and anomaly tracing of crucial process parameters and production indicators. While the integrated method of adaptive signal decomposition combined with time series models could effectively predict process variables, it does have limitations in capturing the high-frequency detail of the operation state when applied to complex chemical processes. In light of this, a novel Multiscale Multi-radius Multi-step Convolutional Neural Network(Msrt Net) is proposed for mining spatiotemporal multiscale information. First, the industrial data from the Fluid Catalytic Cracking(FCC) process decomposition using Complete Ensemble Empirical Mode Decomposition with Adaptive Noise(CEEMDAN) extract the multi-energy scale information of the feature subset. Then, convolution kernels with varying stride and padding structures are established to decouple the long-period operation process information encapsulated within the multi-energy scale data. Finally, a reconciliation network is trained to reconstruct the multiscale prediction results and obtain the final output. Msrt Net is initially assessed for its capability to untangle the spatiotemporal multiscale relationships among variables in the Tennessee Eastman Process(TEP). Subsequently, the performance of Msrt Net is evaluated in predicting product yield for a 2.80 × 10～6 t/a FCC unit, taking diesel and gasoline yield as examples. In conclusion, Msrt Net can decouple and effectively extract spatiotemporal multiscale information from chemical process data and achieve a approximately reduction of 30% in prediction error compared to other time-series models. Furthermore, its robustness and transferability underscore its promising potential for broader applications.

关键词： Fluid catalytic cracking Product yield Data-driven modeling Multiscale prediction Data decomposition Convolution neural network

广西钢铁行业大气污染治理现状及控制对策建议

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环境工程 2024年第6期42卷 63-70页

作者：冯媛赵侣璇刘冰燕吴开庆何彦芳李丽黄俊凯翁锐梁明奇广西壮族自治区环境保护科学研究院南宁530022

系统分析了广西地区钢铁行业产业布局、装备水平、超低排放改造进展和大气污染防控现状,剖析了超低排放改造过程中存在的共性难题,结合当前环保要求和污染治理技术发展现状,并提出了利用区位优势,加快引导长流程炼钢转型为短流程炼钢等... 详细信息

系统分析了广西地区钢铁行业产业布局、装备水平、超低排放改造进展和大气污染防控现状,剖析了超低排放改造过程中存在的共性难题,结合当前环保要求和污染治理技术发展现状,并提出了利用区位优势,加快引导长流程炼钢转型为短流程炼钢等针对广西壮族自治区钢铁行业绿色高质量发展和转型的对策与建议。

关键词：钢铁行业长流程短流程超低排放共性难题绿色高质量发展

mRNA vaccine technology for infectious diseases and beyond

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Science China(life Sciences) 2024年第10期67卷 2267-2270页

作者： Pei Hao Xiao li xuan li Wu Zhong Key laboratory of Molecular Virology and Immunology Shanghai Institute of Immunity and InfectionChinese Academy of SciencesShanghai 200031China Changchun Veterinary Research Institute Chinese Academy of Agricultural SciencesChangchun 130122China Key laboratory of Synthetic Biology CAS Center for Excellence in Molecular Plant SciencesInstitute of Plant Physiology and EcologyChinese Academy of SciencesShanghai 200032China National Engineering Research Center for the Emergency Drug Beijing Institute of Pharmacology and ToxicologyBeijing 100085China University of Chinese Academy of Sciences Beijing 100049China

The rise of mRNA vaccine technology Vaccines stand as one of the most significant medical advancements,playing a crucial role in the prevention of infectious diseases and the improvement of global *** triumph of smallpox vaccination stands as a towering achievement in the annals of healthcare,leading to the complete elimination of a oncedevastating disease and showcasing the efficacy of vaccination methods.

关键词： methods vaccination prevention

Molecular insights into oil detachment from hydrophobic quartz surfaces in clay-hosted nanopores during steam-surfactant co-injection

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Petroleum Science 2024年第4期21卷 2457-2468页

作者： Ben-Jie-Ming liu xuan-Tong lei Mohammadali Ahmadi Zhangxin Chen Department of Chemical and Petroleum Engineering University of Calgary Eastern Institute of Technology

Thermal recovery techniques for producing oil sands have substantial environmental impacts. Surfactants can efficiently improve thermal bitumen recovery and reduce the required amount of steam. Such a technique requires solid knowledge about the interaction mechanism between surfactants, bitumen,water, and rock at the nanoscale level. In particular, oil sands ores have extremely complex mineralogy as they contain many clay minerals(montmorillonite, illite, kaolinite). In this study, molecular dynamics simulation is carried out to elucidate the unclear mechanisms of clay minerals contributing to the bitumen recovery under a steam-anionic surfactant co-injection process. We found that the clay content significantly influenced an oil detachment process from hydrophobic quartz surfaces. Results reveal that the presence of montmorillonite, illite, and the siloxane surface of kaolinite in nanopores can enhance the oil detachment process from the hydrophobic surfaces because surfactant molecules have a stronger tendency to interact with bitumen and quartz. Conversely, the gibbsite surfaces of kaolinite curb the oil detachment process. Through interaction energy analysis, the siloxane surfaces of kaolinite result in the most straightforward oil detachment process. In addition, we found that the clay type presented in nanopores affected the wettability of the quartz surfaces. The quartz surfaces associated with the gibbsite surfaces of kaolinite show the strongest hydrophilicity. By comparing previous experimental findings with the results of molecular dynamics(MD) simulations, we observed consistent wetting characteristics. This alignment serves to validate the reliability of the simulation outcomes. The outcome of this paper makes up for the lack of knowledge of a surfactant-assisted bitumen recovery process and provides insights for further in-situ bitumen production engineering designs.

关键词： Clay minerals Bitumen Contact angle Interaction energy Surfactant Molecular dynamics

Dynamic behavior analysis, color image encryption and circuit implementation of a novel complex memristive system

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Optoelectronics letters 2024年第3期20卷 183-192页

作者： XIONG li WANG xuan ZHANG Xinguo HE Tongdi School of Physics and Electromechanical Engineering Hexi UniversityZhangye 734000China School of Information Science and Engineering Dalian Polytechnic UniversityDalian 116034China School of Information Science and Engineering Lanzhou UniversityLanzhou 730000China

This paper is devoted to introduce a novel four-dimensional memristor-involved system and its applications in image encryption and chaotic circuit. The typical dynamical behaviors of the memristor-involved system are explored, such as chaotic phase potraits, lyapunov exponent spectrum(lES), bifurcation diagram(BD) and complexity analysis. Then a color image encryption algorithm is designed. In this algorithm, the sequences generated by the four-dimensional memristor-involved system are used in scrambling and diffusion algorithm for three channels.

关键词： image system chaotic