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Maximizing hydrogen evolution via Co-Ni dual atoms and nanoclusters on hierarchically ordered porous carbon framework

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Science China Materials 2024年第10期67卷 3197-3205页

作者： Qian Li Pan Zhang Huaiguang Li Yuan Wang Dongsheng Tang Qun Li Jiabin Wu Synergetic Innovation Center for quantum Effects and Application Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of EducationCollege of Physics and Information ScienceHunan Normal UniversityChangsha 410081China National key laboratory of Advanced Micro and Nano Manufacture Technology School of Integrated CircuitsPeking UniversityBeijing 100871China The Chinese University of Hong Kong ShenzhenShenzhen 518172China CAS key laboratory of Nanosystem and Hierarchical Fabrication&CAS Center for Excellence in Nanoscience National Center for Nanoscience and TechnologyBeijing 100190China Department of Chemistry Tsinghua UniversityBeijing 100084China Insititute of Microelectronics State Key Laboratory of Analog and Mixed-Signal VLSIUniversity of MacaoMacao 519000China

Efficient hydrogen production through water splitting relies on the development of high-performance catalysts for the hydrogen evolution reaction(HER).In this study,we synthesized the CoNi SAs@NPs-NC catalyst using multi-metal single-crystal ordered macroporous metal-organic frameworks(MOFs)as *** catalyst features a hierarchical porous structure with ordered macropores and micropores,which not only provides a high specific surface area but also promotes efficient mass ***,the incorporation of bimetallic components,coupled with synergistic interactions between single atoms(SAs)and nanoparticles(NPs),significantly enhances its catalytic *** CoNi SAs@NPs-NC nanocatalysts demonstrated exceptional activity in the HER,recording overpotentials of 90 mV in 1 M KOH and 61 mV in 0.5 M H_(2)SO_(4),both at a current density of 10 mA cm^(−2).In addition,density functional theory(DFT)analysis was employed to investigate the synergistic interactions among CoNi NPs,SAs,and nitrogen *** finding highlights the promising potential of the CoNi SAs@NPs-NC catalyst for efficient hydrogen evolution,making it a valuable candidate for advancing the field of water splitting.

关键词： three dimensional ordered macroporous Co-Ni dual atoms Co-Ni nanoclusters HER synergistic effect

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Practical approach for detecting k-nonseparability of multipartite quantum states

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Science China(Physics,Mechanics & Astronomy) 2024年

作者： Jie Guo Jinchuan Hou Xiaofei Qi Kan He College of Mathematics Taiyuan University of Technology School of Mathematics and Statistics Shanxi University key laboratory of Complex Systems and Data Science of ministry of education Shanxi University

The instantaneous detection of entanglement in quantum states poses a significant challenge in the fields of quantum computation and quantum information, and there are no practical methods or tools to complete this task satisfactorily so far. We propose a sufficient and necessary criterion of k-nonseparability for any n-partite finite or infinite dimensional systems, 2≤k≤n. This criterion serves as the foundation for a practical scheme designed to detect entanglement and k-nonseparability across multipartite finite-dimensional systems. To exemplify the application of our scheme, we have developed a software tool that facilitates swift and precise identification of entanglement, k-nonseparability, and genuine entanglement within n-qubit systems, specifically tailored for systems with 2≤n≤4.

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Anomaly-Resistant Decentralized State Estimation Under Minimum Error Entropy With Fiducial Points for Wide-Area Power Systems

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 74-87页

作者： Bogang Qu Zidong Wang Bo Shen Hongli Dong Hongjian Liu the College of Automation Engineering Shanghai University of Electric PowerShanghai 200090China IEEE the Department of Computer Science Brunel University LondonUxbridgeMiddiesex UB83PHUK the College of information Science and Technology Donghua UniversityShanghai 200051 the Engineering Research Center of Digitalized Textile and Fashion Technology Ministry of EducationShanghai 201620China the Artificial Intelligence Energy Research Institute Northeast Petroleum UniversityDaqing 163318 the Heilongjiang Provincial key laboratory of Networking and Intelligent Control Northeast PetroleumDaqing 163318 the Sanya Offshore Oil&Gas Research Institute Northeast Petroleum UniversitySanya 572024China the key laboratory of Advanced Perception and Intelligent Control of High-End Equipment Ministry of EducationAnhui Polytechnic UniversityWuhu 2410000 the School of Mathematics and Physics Anhui Polytechnic UniversityWuhu 241000China

This paper investigates the anomaly-resistant decentralized state estimation(SE) problem for a class of wide-area power systems which are divided into several non-overlapping areas connected through transmission lines. Two classes of measurements(i.e., local measurements and edge measurements) are obtained, respectively, from the individual area and the transmission lines. A decentralized state estimator, whose performance is resistant against measurement with anomalies, is designed based on the minimum error entropy with fiducial points(MEEF) criterion. Specifically, 1) An augmented model, which incorporates the local prediction and local measurement, is developed by resorting to the unscented transformation approach and the statistical linearization approach;2) Using the augmented model, an MEEF-based cost function is designed that reflects the local prediction errors of the state and the measurement;and 3) The local estimate is first obtained by minimizing the MEEF-based cost function through a fixed-point iteration and then updated by using the edge measuring information. Finally, simulation experiments with three scenarios are carried out on the IEEE 14-bus system to illustrate the validity of the proposed anomaly-resistant decentralized SE scheme.

关键词： Decentralized state estimation(SE) measurements with anomalies minimum error entropy unscented Kalman filter wide-area power systems

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Recent progress on valley polarization and valley-polarized topological states in two-dimensional materials

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Chinese Physics B 2024年第1期33卷 16-31页

作者：王斐张亚玲杨文佳张会生许小红 key laboratory of Magnetic Molecules and Magnetic information Materials of the ministry of education and Research Institute of Materials ScienceShanxi Normal UniversityTaiyuan 030006China College of Physics and Electronic information Shanxi Normal UniversityTaiyuan 030006China

Valleytronics, using valley degree of freedom to encode, process, and store information, may find practical applications in low-power-consumption devices. Recent theoretical and experimental studies have demonstrated that twodimensional(2D) honeycomb lattice systems with inversion symmetry breaking, such as transition-metal dichalcogenides(TMDs), are ideal candidates for realizing valley polarization. In addition to the optical field, lifting the valley degeneracy of TMDs by introducing magnetism is an efficient way to manipulate the valley degree of freedom. In this paper, we first review the recent progress on valley polarization in various TMD-based systems, including magnetically doped TMDs,intrinsic TMDs with both inversion and time-reversal symmetry broken, and magnetic TMD heterostructures. When topologically nontrivial bands are empowered into valley-polarized systems, valley-polarized topological states, namely valleypolarized quantum anomalous Hall effect can be realized. Therefore, we have also reviewed the theoretical proposals for realizing valley-polarized topological states in 2D honeycomb lattices. Our paper can help readers quickly grasp the latest research developments in this field.

关键词： valley polarization valley-polarized topological states two-dimensional material

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Luminescence regulation of Sb^(3+)in 0D hybrid metal halides by hydrogen bond network for optical anti-counterfeiting

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Opto-Electronic Advances 2024年第3期7卷 15-25页

作者： Dehai Liang Saif M.H.Qaid Xin Yang Shuangyi Zhao Binbin Luo Wensi Cai Qingkai Qian Zhigang Zang key laboratory of Optoelectronic Technology&Systems(ministry of education) Chongqing UniversityChongqing 400044China Department of Physics&Astronomy College of SciencesKing Saud UniversityP.O.Box 2455Riyadh 11451Saudi Arabia Department of Chemistry and Chemical Engineering Key Laboratory for Preparation and Application of Ordered Structural Materials of Guangdong ProvinceShantou UniversityShantou 515063China Department of Oil Army Logistics Academy of PLAChongqing 401311China

The Sb^(3+) doping strategy has been proven to be an effective way to regulate the band gap and improve the photophysical properties of organic-inorganic hybrid metal halides(OIHMHs).However,the emission of Sb^(3+) ions in OIHMHs is primarily confined to the low energy region,resulting in yellow or red *** date,there are few reports about green emission of Sb^(3+)-doped ***,we present a novel approach for regulating the luminescence of Sb^(3+) ions in 0D C_(10)H_(2)_(2)N_(6)InCl_(7)·H_(2)O via hydrogen bond network,in which water molecules act as agents for hydrogen ***^(3+)-doped C_(10)H_(2)2N_(6)InCl_(7)·H_(2)O shows a broadband green emission peaking at 540 nm and a high photoluminescence quantum yield(PLQY)of 80%.It is found that the intense green emission stems from the radiative recombination of the self-trapped excitons(STEs).Upon removal of water molecules with heat,C_(10)H_(2)_(2)N_(6)In_(1-x)Sb_(x)Cl_(7) generates yellow emis-sion,attributed to the breaking of the hydrogen bond network and large structural distortions of excited *** water molecules are adsorbed by C_(10)H_(2)_(2)N_(6)In_(1-x)Sb_(x)Cl_(7),it can subsequently emit green *** water-induced reversible emission switching is successfully used for optical security and information *** findings expand the under-standing of how the local coordination structure influences the photophysical mechanism in Sb^(3+)-doped metal halides and provide a novel method to control the STEs emission.

关键词： indium-based halides Sb^(3+)doping hydrogen bonding network optical anti-counterfeiting

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Balancing the minimum error rate and minimum copy consumption in quantum state discrimination

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中国科学技术大学学报 2024年第7期54卷 40-42,39,I0002,I0003页

作者： Boxuan Tian Zhibo Hou Guo-Yong Xiang Chuan-Feng Li Guang-Can Guo CAS key laboratory of quantum information University of Science and Technology of ChinaHefei 230026China CAS Center For Excellence in quantum information and quantum Physics University of Science and Technology of ChinaHefei 230026China

Extracting more information and saving quantum resources are two main aims for quantum ***,the optimization of strategies for these two objectives varies when discriminating between quantum states■and■through multiple *** this study,we introduce a novel state discrimination model that reveals the intricate relationship between the average error rate and average copy *** integrating these two crucial metrics and minimizing their weighted sum for any given weight value,our research underscores the infeasibility of simultaneously minimizing these metrics through local measurements with one-way *** findings present a compelling trade-off curve,highlighting the advantages of achieving a balance between error rate and copy consumption in quantum discrimination tasks,offering valuable insights into the optimization of quantum resources while ensuring the accuracy of quantum state discrimination.

关键词： quantum measurement quantum control quantum state discrimination

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Room-temperature phonon-coupled single-photon emission in hexagonal boron nitride

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Science China(Physics,Mechanics & Astronomy) 2024年第5期67卷 109-114页

作者： Jia-Min Lai Qing-Hai Tan Feilong Song Haonan Chang Yanpei Lv Xue-Lu Liu Jinghua Teng Weibo Gao Ping-Heng Tan Jun Zhang State key laboratory of Superlattices and Microstructures Institute of SemiconductorsChinese Academy of SciencesBeijing100083China key laboratory of Magnetic Molecules and Magnetic information Materials of ministry of education&Research Institute of Materials Science Shanxi Normal UniversityTaiyuan 030000China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China Division of Physics and Applied Physics School of Physical and Mathematical SciencesNanyang Technological UniversitySingapore 637371Singapore Institute of Materials Research and Engineering(IMRE) Agency for ScienceTechnology and Research(A*STAR)Singapore 138634Singapore

Photon-lattice(phonon)coupling is fundamental to light-matter interaction,particularly when it reaches the quantum limit of the phonon-coupled single-photon emission,which holds great potential for quantum manipulation and quantum information ***,we report single defect state-phonon coupling in hexagonal boron nitride(h BN)at room *** ultrabroad spectrum of single-photon emissions can be achieved by selecting the excitation *** photoluminescence excitation spectroscopy,we observe single-phonon-assisted resonance-enhanced single-photon emission,along with multiple phonon replicas that herald the creation of phonon Fock *** also develop a transition model to gain insight into the physical process behind the single defect state-phonon *** work sets the stage for manipulating electron-phonon coupling state with single quantum-level precision at room temperature.

关键词： temperature phonon hexagonal

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MGCPN:An Efficient Deep Learning Model for Tibetan Plateau Precipitation Nowcasting Based on the IMERG Data

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Journal of Meteorological Research 2024年第4期38卷 693-707页

作者： Mingyue LU Zhiyu HUANG Manzhu YU Hui LIU Caifen HE Chuanwei JIN Jingke ZHANG key laboratory of Meteorological Disaster Ministry of Education(KLME)/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)Nanjing University of Information Science&TechnologyNanjing 210044China Department of Geography Pennsylvania State UniversityUniversity ParkPA 16802USA ZhenhaiDistrict Meteorological Bureau Ningbo315200China Geographic Science College Nanjing University of Information Science&TechnologyNanjing 210044China School of Remote Sensing&Geomatics Engineering Nanjing University of Information Science&TechnologyNanjing 210044China

The sparse and uneven placement of rain gauges across the Tibetan Plateau(TP) impedes the acquisition of precise,high-resolution precipitation measurements,thus challenging the reliability of forecast *** address such a challenge,we introduce a model called Multisource Generative Adversarial Network-Convolutional Long Short-Term Memory(GAN-ConvLSTM) for Precipitation Nowcasting(MGCPN),which utilizes data products from the Integrated Multi-satellite Retrievals for global precipitation measurement(IMERG) data,offering high spatiotemporal resolution precipitation forecasts for upcoming periods ranging from 30 to 300 *** results of our study confirm that the implementation of the MGCPN model successfully addresses the problem of underestimating and blurring precipitation results that often arise with increasing forecast *** issue is a common challenge in precipitation forecasting ***,we have used multisource spatiotemporal datasets with integrated geographic elements for training and prediction to improve model *** model demonstrates its competence in generating precise precipitation nowcasting with IMERG data,offering valuable support for precipitation research and forecasting in the TP *** metrics results obtained from our study further emphasize the notable advantages of the MGCPN model;it outperforms the other considered models in the probability of detection(POD),critical success index,Heidke Skill Score,and mean absolute error,especially showing improvements in POD by approximately 33%,19%,and 8% compared to Convolutional Gated Recurrent Unit(ConvGRU),ConvLSTM,and small Attention-UNet(SmaAt-UNet) models.

关键词： precipitation nowcasting Generative Adversarial Network-Convolutional Long Short-Term Memory(GAN-ConvLSTM)for Precipitation Nowcasting(MGCPN) Integrated Multi-satellite Retrievals for globalprecipitation measurement(IMERG) deep learning Tibetan Plateau

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Superradiance of ultracold cesium Rydberg |65D_(5/2)> → |66P_(3/2)>

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Chinese Physics B 2024年第5期33卷 425-428页

作者：郝丽萍韩小萱白素英游秀芬焦月春赵建明 Department of Materials and Chemical Engineering Taiyuan UniversityTaiyuan 030032China Department of Physics Taiyuan Normal UniversityJinzhong 030619China School of Physics and information Engineering Shanxi Normal UniversityTaiyuan 030031China State key laboratory of quantum Optics and quantum Optics Devices Institute of Laser SpectroscopyShanxi UniversityTaiyuan 030006China Collaborative Innovation Center of Extreme Optics Shanxi UniversityTaiyuan 030006China

We investigate Rydberg |65D_(5/2)> → |66P_(3/2)> superradiance in dense ultracold cesium atoms,where the ground atoms are excited to |65D_(5/2)> Rydberg states via two-photon excitation in a standard magneto-optical *** superradiant spectrum of |65D_(5/2)> → |66P_(3/2)> is obtained using the state-selective field ionization *** observe its dynamic evolution process by varying the delay time of ionization field *** results show that the evolution process of |65D_(5/2)> →|66P_(3/2)> is much shorter than its radiation lifetime at room temperature,which verifies the superradiance *** dependence of the superradiance process on Rydberg atoms number N_(e) and principal quantum number n is *** results show that the superradiance becomes faster with increasing N_(e),while it is suppressed for stronger van der Waals(vdW) *** has potential applications in quantum technologies,and the Rydberg atom is an ideal medium for *** system is effective for studying the strong two-body interaction between Rydberg atoms.

关键词： Rydberg atom superradiance van der Waals interaction

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A two-branch multiscale spectral-spatial feature extraction network for hyperspectral image classification

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Journal of information and Intelligence 2024年第3期2卷 224-235页

作者： Aamir Ali Caihong Mu Zeyu Zhang Jian Zhu Yi Liu key laboratory of Intelligent Perception and Image Understanding of ministry of education Collaborative Innovation Center of Quantum Information of Shaanxi ProvinceSchool of Artificial IntelligenceXidian UniversityXi'an 710071China school of Electronic Engineering Xidian UniversityXi'an 710071China

In the field of hyperspectral image(HSI)classification in remote sensing,the combination of spectral and spatial features has gained considerable *** addition,the multiscale feature extraction approach is very effective at improving the classification accuracy for HSIs,capable of capturing a large amount of intrinsic ***,some existing methods for extracting spectral and spatial features can only generate low-level features and consider limited scales,leading to low classification results,and dense-connection based methods enhance the feature propagation at the cost of high model *** paper presents a two-branch multiscale spectral-spatial feature extraction network(TBMSSN)for HSI *** design the mul-tiscale spectral feature extraction(MSEFE)and multiscale spatial feature extraction(MSAFE)modules to improve the feature representation,and a spatial attention mechanism is applied in the MSAFE module to reduce redundant information and enhance the representation of spatial fea-tures at *** we densely connect series of MSEFE or MSAFE modules respectively in a two-branch framework to balance efficiency and effectiveness,alleviate the vanishing-gradient problem and strengthen the feature *** evaluate the effectiveness of the proposed method,the experimental results were carried out on bench mark HsI datasets,demonstrating that TBMSSN obtained higher classification accuracy compared with several state-of-the-art methods.

关键词： Hyperspectral image classification Multiscale spectral-spatial information Two-branch architecture

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