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2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023

作者： Fan, Yufei Meng, Xueyu Qiao, Yanan Cui, Junying Ma, Junchao Cai, Zhiqiang School of Mechanical Engineering Northwestern Polytechnical University Department of Industrial Engineering Xi'an710072 China Northwestern Polytechnical University Min. of Indust. and Info. Technol. Key Lab. of Industrial Engineering and Intelligent Manufacturing Xi'an710072 China University of Fribourg Department of Physics Fribourg1700 Switzerland Institute of Finance and Economics Zhengzhou University of Science and Technology Zhengzhou450064 China School of Business and Research Center for Econophysics East China University of Science and Technology Shanghai200237 China

ISBN: (纸本)9798350323153

In this paper, we develop a modified SIQRS (susceptible-infected-quarantined-recovered-susceptible) compartmental model of infectious diseases based on the mean field theory of heterogeneous networks to analyze the effect of time-delayed quarantine measures on the transmission of infectious diseases. First, considering the nonlinear infection rate with social network structure, this paper establishes a modified SIQRS compartmental model on heterogeneous network, and introduces two time-delayed parameters into the corresponding ordinary differential equation model. Then, the basic reproduction number R_{0} of this model is obtained by regeneration matrix method, and the threshold conditions of infection outbreak are analyzed. Then, the disease-free equilibrium point (DFE) and the endemic disease equilibrium point (EDE) are obtained when the system is stable under different conditions, and the stability analysis of these two points is performed. Finally, the transmission mechanism of infectious diseases in reality is analyzed by numerical simulation, and the corresponding prevention and control measures are proposed. © 2023 IEEE.

关键词： heterogeneous network SIQRS compartmental model threshold analysis time-delayed control measures

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Latent space active learning with message passing neural network: The case of HfO2

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Physical Review Materials 2024年第10期8卷 103804页

作者： Xinjian Ouyang Zhilong Wang Xiao Jie Feng Zhang Yanxing Zhang Laijun Liu Dawei Wang School of Microelectronics and State Key Laboratory for Mechanical Behavior of Materials Key Lab of Micro-Nano Electronics and System Integration of Xi'an City School of Physics Key Laboratory of Nonferrous Materials and New Processing Technology Ministry of Education and College of Materials Science and Engineering

Due to their excellent abilities, machine learning potential models have shown significant promise in accurately constructing potential energy surfaces for various materials. As a data-driven approach, however, the training of these models necessitates carefully curated datasets to be effective. In this paper, we propose an active learning scheme for message passing neural networks (MPNNs). This method leverages the latent distance in the descriptor space, inherently generated by MPNNs, to quantify model uncertainty. Additionally, we employ CUR matrix decomposition for sample selection to reduce data redundancy. We demonstrate the application of this method on HfO2, a complex ferroelectric material with many phases, by investigating its static properties, phonon spectrum, and notably, structural phase transitions. We also demonstrate the reliability of latent distance as a model uncertainty metric. Utilizing latent space distance, the proposed method enriches active learning frameworks for machine learning potentials, providing an efficient alternative to traditional methods, such as the “query by committee” approach.

关键词： Potential energy surfaces Fluorite structure Density functional theory Machine learning

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Lead-free molecular one-dimensional perovskite for efficient X-ray detection

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Journal of Energy Chemistry 2022年第1期31卷 209-213,I0007页

作者： Haojin Li Xin Song Chuang Ma Zhuo Xu Nuo Bu Tinghuan Yang Qingyue Cui Lili Gao Zhou Yang Fei Gao Guangtao Zhao Zhaolai Chen Zicheng Ding Kui Zhao Shengzhong(Frank)Liu Key Laboratory of Applied Surface and Colloid Chemistry Ministry of EducationShaanxi Key Laboratory for Advanced Energy DevicesShaanxi Engineering Lab for Advanced Energy TechnologyInstitute for Advanced Energy MaterialsSchool of Materials Science and EngineeringShaanxi Normal UniversityXi'an 710119ShaanxiChina Dalian National Laboratory for Clean Energy iChEMDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023LiaoningChina Department of Chemical Physics Collaborative Innovation Center of Chemistry for Energy Materials(iChEM)University of Science and Technology of ChinaHefei 230026AnhuiChina State Key Laboratory of Crystal Materials Institute of Crystal MaterialsShandong UniversityJinan 250100ShandongChina

In recent years,great progress has been achieved for organicinorganic halide perovskites due to their excellent optoelectronic properties and stability for photovoltaics,light emitting diodes,and high-energy radiation detection[1-5].One-dimensional(1D)perovskites,as an important derivative of three-dimensional(3D)perovskites,exhibit low exciton dissociation efficiency,which can produce strong quantum confinement and form self-trapping excited state[6],In addition,the hydrophobic properties and the inhibition of ion migration from large organic cations improve the moisture and thermal stability for optoelectronic devices.

关键词： Perovskite Molecular one-dimensional perovskite X-ray detection Self-trapped emission

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Alginate and chitosan surface coating reduces the phytotoxicity of CeO2 nanoparticles to duckweed (Lemna minor L.)

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Chemosphere 2024年 362卷 142649页

作者： Zhao, Xuepeng Ma, Yuhui Dai, Wanqin Song, Zhuda Wang, Yun Shen, Jiaqi He, Xiao Yang, Fang Zhang, Zhiyong Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety & CAS-HKU Joint Laboratory of Metallomics on Health and Environment Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China Hebei Provincial Key Lab of Green Chemical Technology & High Efficient Energy Saving School of Chemical Engineering and Technology Hebei University of Technology Tianjin300130 China School of Nuclear Science and Technology University of the Chinese Academy of Sciences Beijing100049 China

Little is known about the effect of surface coatings on the fate and toxicity of CeO2 nanoparticles (NPs) to aquatic plants. In this study, we modified nCeO2 with chitosan (Cs) and alginate (Al) to obtain positively charged nCeO2@Cs and negatively charged nCeO2@Al, respectively, and exposed them to a representative aquatic plant, duckweed (Lemna minor L.). Uncoated nCeO2 could significantly inhibit the growth of duckweed, induce oxidative damage and lead to cell death, whereas nCeO2@Cs and nCeO2@Al exhibited lower toxicity to duckweed. ICP-MS analysis revealed that the Ce content in duckweed from the nCeO2 group was 1.74 and 2.85 times higher than that in the nCeO2@Cs and nCeO2@Al groups, respectively. Microscopic observations indicated that the positively charged nCeO2@Cs was more readily adsorbed on the root surface of duckweed than the negatively charged nCeO2@Al. The results of XANES and LCF demonstrated that a certain percentage of Ce(Ⅳ) was reduced to Ce(Ⅲ) after the interaction of the three NPs with duckweed, but the degree of biotransformation differed among the treatments. Specifically, the absolute contents of Ce(III) produced of nCeO2@Cs and nCeO2@Al through biotransformation were reduced by 55.5% and 83.5%, respectively, compared with that of the nCeO2 group, which might be the key factor for the diminished phytotoxicity of the coated nCeO2 to the duckweed. These findings were valuable for understanding the toxicity of metal-based NPs to aquatic plants and for the synthesis of environmentally friendly nanomaterials. © 2024 Elsevier Ltd

关键词： Chitosan

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A New Type of MPd5 Kagome Superconductors

arXiv

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arXiv 2025年

作者： Li, Dan Wang, Zhengxuan Jing, Panshi Shiri, Mehrdad Wang, Kun Ma, Chunlan Gong, Shijing Zhao, Chuanxi Wang, Tianxing Dong, Xiao Zhuang, Lin Liu, Wuming An, Yipeng School of Physics Henan Normal University Xinxiang453007 China Henan Key Laboratory of Advanced Semiconductor & Functional Device Integration Henan Normal University Xinxiang453007 China Department of Physics University of Miami Coral GablesFL33146 United States School of Physics and Technology Suzhou University of Science and Technology Suzhou215009 China Department of Physics East China Normal University Shanghai200062 China Siyuan Laboratory Guangdong Provincial Engineering Technology Research Center of Vacuum Coating Technologies and New Energy Materials Department of Physics Jinan University Guangzhou510632 China State Key Laboratory of Optoelectronic Materials and Technologies School of Physics Sun Yat-Sen University Guangzhou510275 China Beijing National Laboratory for Condensed Matter Physics Institute of Physics Chinese Academy of Sciences Beijing100190 China

Kagome materials, which are composed of hexagons tiled with a shared triangle, have inspired enormous interest due to their unique structures and rich physical properties, but exploring superconducting material systems with new kagome structures is still an important research direction. Here, we predict a new type of kagome superconductors, MPd5 (M is a group IIA metal element), and identify that they exhibit coexistence of superconductivity and non-trivial topological properties. We uncover their phonon-mediated superconductivity by the density functional theory for superconductors (SCDFT), predicting the superconducting transition temperatures (Tc) of 2.64, 2.03, and 1.50 K for CaPd5, SrPd5, and BaPd5, respectively, which can be effectively tuned by external pressure and electron doping. The present results also demonstrate that MPd5 have various topological properties such as, CaPd5 shows topological non-trivial intersection near the Fermi level (EF). Our results indicate that the MPd5 materials can be an emerging material platform with rich exotic physics in their kagome structures, and render themselves excellent candidates for superconducting and advanced functional materials that could be utilized in topological quantum computing and information technology. © 2025, CC BY.

关键词： Quantum computers

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Evaluation and comparison of CMIP6 models and MERRA-2 reanalysis AOD against Satellite observations from 2000 to 2014 over China

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Geoscience Frontiers 2022年第2期13卷 165-185页

作者： Md.Arfan Ali Muhammad Bilal Yu Wang Zhongfeng Qiu Janet E.Nichol Gerrit de Leeuw Song Ke Alaa M.hawish Mansour Almazroui Usman Mazhar Birhanu Asmerom Habtemicheal M.Nazrul Islam Lab of Environmental Remote Sensing(LERS) School of Marine SciencesNanjing University of Information Science and TechnologyNanjing 210044China Department of Geography School of Global StudiesUniversity of SussexBrighton BN19RHUK Royal Netherlands Meteorological Institute(KNMI) R&D Satellite Observations3730AE De BiltThe Netherlands School of Atmospheric Physics Nanjing University of Information Science and TechnologyNanjing 210044China Aerospace Information Research Institute Chinese Academy of Sciences(AirCAS)No.20 Datun RoadChaoyang DistrictBeijing 100101China School of Environment Science and Spatial Informatics University of Mining and TechnologyXuzhouJiangsu 221116China Geological Survey of Jiangsu Province Nanjing 210018China Center of Excellence for Climate Change Research/Department of Meteorology King Abdulaziz UniversityJeddah 21589Saudi Arabia Climatic Research Unit School of Environmental SciencesUniversity of East AngliaNorwichUK School of Remote Sensing and Geomatics Engineering Nanjing University of Information Science and TechnologyNanjing 210044China Department of Physics Wollo UniversityDessie P.O.Box 1145Ethiopia

Rapid industrialization and urbanization along with a growing population are contributing significantly to air pollution in *** of long-term aerosol optical depth(AOD)data from models and reanalysis,can greatly promote understanding of spatiotemporal variations in air pollution in *** do this,AOD(550 nm)values from 2000 to 2014 were obtained from the Coupled Model Intercomparison Project(CIMP6),the second version of Modern-Era Retrospective analysis for Research,and Applications(MERRA-2),and the Moderate Resolution Imaging Spectroradiometer(MODIS;flying on the Terra satellite)combined Dark Target and Deep Blue(DTB)aerosol *** used the TerraMODIS DTB AOD(hereafter MODIS DTB AOD)as a standard to evaluate CMIP6 Ensemble AOD(hereafter CMIP6 AOD)and MERRA-2 reanalysis AOD(hereafter MERRA-2 AOD).Results show better correlations and smaller errors between MERRA-2 and MODIS DTB AOD,than between CMIP6 and MODIS DTB AOD,in most regions of China,at both annual and seasonal ***,significant under-and over-estimations in the MERRA-2 and CMIP6 AOD were also observed relative to MODIS DTB *** long-term(2000-2014)MODIS DTB AOD distributions show the highest AOD over the North China Plain(0.71)followed by Central China(0.69),Yangtse River Delta(0.67),Sichuan Basin(0.64),and Pearl River Delta(0.54)*** lowest AOD values were recorded over the Tibetan Plateau(0.13±0.01)followed by Qinghai(0.19±0.03)and the Gobi Desert(0.21±0.03).Large amounts of sand and dust particles emitted from natural sources(the Taklamakan and Gobi Deserts)may result in higher AOD in spring compared to summer,autumn,and *** were also calculated for 2000-2005,for2006-2010(when China introduced strict air pollution control policies during the 11 th Five Year Plan or FYP),and for 2011-2014(during the 12 th FYP).An increasing trend in MODIS DTB AOD was observed throughout the country during *** uncontrolled industrialization,urbanization,and rapid eco

关键词： Aerosol Optical Depth Air pollution MERRA-2 MODIS Air quality

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SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs

arXiv

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arXiv 2025年

作者： Jie, Shibo Tang, Yehui Han, Kai Deng, Zhi-Hong Han, Jing State Key Laboratory of General Artificial Intelligence School of Intelligence Science and Technology Peking University China Huawei Noah’s Ark Lab Hong Kong School of Physics Peking University China

Transformer-based large language models (LLMs) have already achieved remarkable results on long-text tasks, but the limited GPU memory (VRAM) resources struggle to accommodate the linearly growing demand for key-value (KV) cache as the sequence length increases, which has become a bottleneck for the application of LLMs on long sequences. Existing KV cache compression methods include eviction, merging, or quantization of the KV cache to reduce its size. However, compression results in irreversible information forgetting, potentially affecting the accuracy of subsequent decoding. In this paper, we propose SPECACHE, which takes full advantage of the large and easily expandable CPU memory to offload the complete KV cache, and dynamically fetches KV pairs back in each decoding step based on their importance measured by low-bit KV cache copy in VRAM. To avoid inference latency caused by CPU-GPU communication, SPECACHE speculatively predicts the KV pairs that the next token might attend to, allowing us to prefetch them before the next decoding step which enables parallelization of prefetching and computation. Experiments on LongBench and Needle-in-a-Haystack benchmarks verify that SPECACHE effectively reduces VRAM usage while avoiding information forgetting for long sequences without re-training, even with a 10× high KV cache compression ratio. © 2025, CC0.

关键词： Decoding

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Breakdown of effective-medium theory in dielectric composites containing epsilon-near-zero constituents

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Physical Review B 2024年第4期109卷 045104-045104页

作者： Ran Mei Jin Qin Dongyang Yan Yun Lai Jie Luo Institute of Theoretical and Applied Physics School of Physical Science and Technology Soochow University Suzhou 215006 China Provincial Key Lab of Thin Films Soochow University Suzhou 215006 China National Laboratory of Solid State Microstructures School of Physics and Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing 210093 China

Dielectric composites are believed to tightly obey the effective-medium theory (EMT) when their dimensions are much smaller compared to the wavelength inside them. It is naturally expected that when the refractive indices of a part of the constituent materials approach zero, the validity of the EMT is further strengthened. Here, we demonstrate that the EMT breaks down in deep-subwavelength dielectric composites containing homogeneous epsilon-near-zero (ENZ) constituents, which is contrary to the above intuitive picture, as validated by both the Bloch-wave analysis and numerical simulations. This breakdown of EMT originates in the presence of strong evanescent waves emerging on the interfaces between the constituent materials, which stem from the extreme mismatch of energy-flux distributions between them. The energy flux within such composites is highly nonuniform: significantly enhanced in the ENZ constituents and largely depressed in other normal constituents. When such composites are illuminated by planar waves with uniform energy-flux distributions, evanescent waves for redistributing flux into the ENZ constituents are generated on the internal interfaces of the composites, and lead to properties beyond the prediction of traditional EMT. Our work unveils the mechanism of EMT breakdown in dielectric composites with constituents of near-zero permittivity.

关键词： Metamaterials Composite materials Effective medium approach

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Reliability Model for Space-Borne Optoelectrical Sensing Devices Based on Wiener Process

Reliability Model for Space-Borne Optoelectrical Sensing Dev...

引用

Robotics, Control and Automation Engineering (RCAE), International Conference on

作者： Kun Ma Rui Xiong Xiaowei Wang Jiliang He Pressure and Vacuum Lab. of National Institute of Metrology Beijing China Systems Engineering of China Academy of Launch Vehicle Technology Beijing Institute of Astronautical Beijing China School of Instrumentation Science and Opto-electronics Engineering of Beihang University Beijing China Academy of Launch Vehicle Technology Beijing Institute of Space Launch Technology of China Beijing China

To evaluate the reliability of optoelectrical sensing devices in the optoelectronic sensors during the space mission, a reliability model based on the Wiener process, fused stress acceleration factor for space-borne optical and optoelectronic devices, and a reliability model of space-borne electronic devices based on the Wiener process, considering the individual differences between devices and fusing the randomness of unknown parameters are proposed. The model parameter estimation equations are derived. Combining the failure threshold and the sensitive stress accelerated degradation data, the reliability of the typical space-borne COTS electronic device AD580 is evaluated as an example.

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Visualization of Photonic Band Structures via Far-field Measurements in SiNx Photonic Crystal Slabs

arXiv

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arXiv 2023年

作者： Lan, Wenze Fu, Peng Ji, Chang-Yin Wang, Gang Yao, Yugui Gu, Changzhi Liu, Baoli Beijing National Laboratory for Condensed Matter Physics Institute of Physics Chinese Academy of Sciences Beijing100190 China School of Physical Sciences CAS Key Laboratory of Vacuum Physics University of Chinese Academy of Sciences Beijing100190 China School of Physics Beijing Institute of Technology Beijing100081 China Beijing Key Lab of Nanophotonics & Ultrafine Optoelectronic Systems School of Physics Beijing Institute of Technology Beijing100081 China CAS Center for Excellence in Topological Quantum Computation CAS Key Laboratory of Vacuum Physics University of Chinese Academy of Sciences Beijing100190 China Songshan Lake Materials Laboratory Guangdong Dongguan523808 China

The band structures of the photonic crystal slabs play a significant role in manipulating the flow of light and predicting exotic physics in photonics. In this letter, we show that the key features of photonic band structures can be achieved experimentally by the polarization- and momentum-resolved photoluminescence spectroscopy utilizing the light emission properties of SiNx. The two-dimensional spectra clearly reveal the energy-momentum dispersion of band structures which is in perfect agreement with the simulation results. The isofrequency contours can be measured easily by adding a bandpass filter with a desired photon energy. Furthermore, it is convenient to observe clearly and directly the optical singularity - the optical bound states in the continuum featured by dark point in three-dimensional photoluminescence spectra. The polarization-resolved isofrequency contours clearly show that this dark point is the center of an azimuthally polarized vortex. Finally, the helical topological edge states can be easily observed in photonic topological insulators with deformed hexagonal lattices. Our work provides a simple and effective approach for exploring topological photonics and other intriguing phenomena hidden in the photonic crystal slabs. © 2023, CC BY-NC-ND.

关键词： Polarization

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