30 research outputs found

    Direct observation of topological surface states in the layered kagome lattice with broken time-reversal symmetry

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    Magnetic topological quantum materials display a diverse range of fascinating physical properties which arise from their intrinsic magnetism and the breaking of time-reversal symmetry. However, so far, few examples of intrinsic magnetic topological materials have been confirmed experimentally, which significantly hinder our comprehensive understanding of the abundant physical properties in this system. The kagome lattices, which host diversity of electronic structure signatures such as Dirac nodes, flat bands, and saddle points, provide an alternative and promising platform for in-depth investigations into correlations and band topology. In this article, drawing inspiration from the stacking configuration of MnBi2_2Te4_4, we conceive and then synthesize a high-quality single crystal EuTi3_3Bi4_4, which is a unique natural heterostructure consisting of both topological kagome layers and magnetic interlayers. We investigate the electronic structure of EuTi3_3Bi4_4 and uncover distinct features of anisotropic multiple Van Hove singularitie (VHS) that might prevent Fermi surface nesting, leading to the absence of a charge density wave (CDW). In addition, we identify the topological nontrivial surface states that serve as connections between different saddle bands in the vicinity of the Fermi level. Combined with calculations, we establish that, the effective time-reversal symmetry S=θ\thetaτ1/2\tau_{1/2} play a crucial role in the antiferromagnetic ground state of EuTi3_3Bi4_4, which ensures the stability of the topological surface states and gives rise to their intriguing topological nature. Therefore, EuTi3_3Bi4_4 offers the rare opportunity to investigate correlated topological states in magnetic kagome materials.Comment: 9 pages, 4 figure

    A broad-spectrum gas sensor based on correlated two-dimensional electron gas

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    Designing a broad-spectrum gas sensor capable of identifying gas components in complex environments, such as mixed atmospheres or extreme temperatures, is a significant concern for various technologies, including energy, geological science, and planetary exploration. The main challenge lies in finding materials that exhibit high chemical stability and wide working temperature range. Materials that amplify signals through non-chemical methods could open up new sensing avenues. Here, we present the discovery of a broad-spectrum gas sensor utilizing correlated two-dimensional electron gas at a delta-doped LaAlO3/SrTiO3 interface with LaFeO3. Our study reveals that a back-gating on this two-dimensional electron gas can induce a non-volatile metal to insulator transition, which consequently can activate the two-dimensional electron gas to sensitively and quantitatively probe very broad gas species, no matter whether they are polar, non-polar, or inert gases. Different gas species cause resistance change at their sublimation or boiling temperature and a well-defined phase transition angle can quantitatively determine their partial pressures. Such unique correlated two-dimensional electron gas sensor is not affected by gas mixtures and maintains a wide operating temperature range. Furthermore, its readout is a simple measurement of electric resistance change, thus providing a very low-cost and high-efficient broad-spectrum sensing technique.</p

    Photoemission Evidence of a Novel Charge Order in Kagome Metal FeGe

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    A charge order has been discovered to emerge deep into the antiferromagnetic phase of the kagome metal FeGe. To study its origin, the evolution of the low-lying electronic structure across the charge order phase transition is investigated with angle-resolved photoemission spectroscopy. We do not find signatures of nesting between Fermi surface sections or van-Hove singularities in zero-frequency joint density of states, and there are no obvious energy gaps at the Fermi level, which exclude the nesting mechanism for the charge order formation in FeGe. However, two obvious changes in the band structure have been detected, i.e., one electron-like band around the K point and another one around the A point move upward in energy position when the charge order forms. These features can be well reproduced by our density-functional theory calculations, where the charge order is primarily driven by magnetic energy saving via large dimerizations of a quarter of Ge1-sites (in the kagome plane) along the c-axis. Our results provide strong support for this novel charge order formation mechanism in FeGe, in contrast to the conventional nesting mechanism.Comment: 6 pages, 4 figure

    Soil microbial community variation among different land use types in the agro-pastoral ecotone of northern China is likely to be caused by anthropogenic activities

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    There are various types of land use in the agricultural and pastoral areas of northern China, including natural grassland and artificial grassland, scrub land, forest land and farmland, may change the soil microbial community However, the soil microbial communities in these different land use types remain poorly understood. In this study, we compared soil microbial communities in these five land use types within the agro-pastoral ecotone of northern China. Our results showed that land use has had a considerable impact on soil bacterial and fungal community structures. Bacterial diversity was highest in shrubland and lowest in natural grassland; fungal diversity was highest in woodland. Microbial network structural complexity also differed significantly among land use types. The lower complexity of artificial grassland and farmland may be a result of the high intensity of anthropogenic activities in these two land-use types, while the higher structural complexity of the shrubland and woodland networks characterised by low-intensity management may be a result of low anthropogenic disturbance. Correlation analysis of soil properties (e.g., soil physicochemical properties, soil nutrients, and microbiomass carbon and nitrogen levels) and soil microbial communities demonstrated that although microbial taxa were correlated to some extent with soil environmental factors, these factors did not sufficiently explain the microbial community differences among land use types. Understanding variability among soil microbial communities within agro-pastoral areas of northern China is critical for determining the most effective land management strategies and conserving microbial diversity at the regional level

    Human Pose Estimation using SimCC and Swin Transformer

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    2D Human Pose Estimation is an important task in computer vision. In recent years, methods using deep learning for human pose estimation have been proposed one after another and achieved good results. Among existing models, the built-in attention layer in Transformer enables the model to effectively capture long-range relationships and also reveal the dependencies on which predicted key points depend. SimCC formulates keypoint localization as a classification problem, dividing the horizontal and vertical axes into equal-width numbered bins, and discretizing continuous coordinates into integer bin labels. We propose a new model that combines the Swin Transformer training model to predict the bin where the key points are located, so as to achieve the purpose of predicting key points. This method can achieve better results than other models and can achieve supixel positioning accuracy and low quantization error

    Method for Energy Efficiency Evaluation of Coal-fired Unit Based on Environmental Protection and Reliability

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    As energy problem become more important, and nation require further intensify energy-saving work, coal-fired power plants begin to pay attention increasingly to the environmental protection and reliability. The study establishe a new method for the present coal-fired unit, that can overall evaluate environmental protection and reliability regularly. The running condition of a 600MW grade coal-fired unit in 2019 is take as an example for energy efficiency evaluation. The results prove that the method is simple andconvenient for the use. It can weigh the level of safety, energy saving, environmental protection technology and management for coal-fired power plants, and is important for advancing the firm’s core competence and long-term profitability

    Compare the Calculations of Steam Extraction Efficiency of Power Plant Turbine by Simple Heat Balance Method and Equivalent Enthalpy Drop Method

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    At present, the calculation method of steam extraction efficiency of power plant turbine have five methods: heat balance method, equivalent enthalpy drop method, cyclicfunctional method, composite structure method and matrix method. In this paper, a 600MW grade subcritical thermal power plan is take as an examplefor comparing the calculation by the simple heat balance method and the equivalent enthalpy drop method. The result shows that the computational results of simple heat balance method agree with equivalent enthalpy drop method. So simple heat balance method can be used to replace equivalent enthalpy drop method in order to reduce calculation amount in practicalapplication

    Development of a BIM-based bridge maintenance system (BMS) for managing defect data

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    Abstract Bridges might experience many defects during use, such as pavement cracks and reinforcement corrosion, which easily produce an accumulated impact that threatens bridge safety. Thus, there is a need for the regular inspection and maintenance of bridges. This paper presents a bridge maintenance system (BMS) based on building information modelling (BIM), which is utilized in bridge defect information management using a digitalization method. A bridge defect three-dimensional BIM (BIM3D) library is established and combined with a bridge model to visualize bridge defect conditions. Based on bridge inspection data, bridge defect information is digitally classified and encoded according to the international framework for dictionaries (IFD) standard and used to establish a database. An evaluation of bridge technical conditions is performed, and the results are graded and displayed in different colours, reflecting the visualization function of BIM technology. Maintenance suggestions are provided according to the range of bridge technical condition scores, reflecting the informatization function of BIM technology. With the Xinjiang Cocodala Bridge in China as a case study, a bridge BIM3D model and inspection data are imported into the BMS to utilize the functions of ‘visualization of bridge defect conditions’, ‘evaluation of bridge technical conditions’ and ‘recommendations of bridge maintenance methods'

    Electrochemical Performance of Al-1Zn-0.1In-0.1Sn-0.5Mg-xMn (x = 0, 0.1, 0.2, 0.3) Alloys Used as the Anode of an Al-Air Battery

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    In this work, Al-1Zn-0.1In-0.1Sn-0.5Mg-xMn (x = 0, 0.1, 0.2, 0.3) alloys are prepared and used as the anode of an Al-air battery (AAB). We use scanning electron microscopy (SEM) with energy-dispersive X-ray spectroscopy (EDS) and optical microscopy (OM) to analyze the microstructures of the alloys. The hydrogen evolution rate, electrochemical performance (including polarization curves), electrochemical impedance spectroscopy (EIS), and battery performance of the samples are examined in the 4 M NaOH electrolyte. The experimental data display that the average grain size is significantly refined after adding manganese into the Al-1Zn-0.1In-0.1Sn-0.5Mg alloy, with a decrease in grain size from over 100 &mu;m to about 10 &mu;m. The improved activity of the aluminum anode in the AAB can be attributed to the introduction of manganese. The Al-1Zn-0.1In-0.1Sn-0.5Mg-0.1Mn alloy possesses the optimal overall performance with a lower self-corrosion rate (0.128 mL&#8729;cm&minus;2&#8729;min&minus;1), the highest working potential (1.630 V) and energy density (2415 mWh&middot;g&minus;1), a higher capacity (1481 mAh&middot;g&minus;1) and anodic utilization (49.75%)

    Multifunctional Silver Decorated Leather Solid Waste/Poly(Vinyl Alcohol) Nanocomposites for Electromagnetic Interference Shielding, Joule Heating and Crude-Oil cleaning

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    With the rapid development of modern intelligent industry and the Internet of Things, the demand for multifunctional electromagnetic interference (EMI) shielding material has increased for complicated application scenes. Herein, derived from a hazardous waste, i.e., leather solid waste (LSW), a silver/LSW/poly(vinyl alcohol) (PVA) membrane has been prepared via resourceful combination of solids state shear milling (S3 M) and electroless plating technology. The debundled leather fibers prepared by S3 M can act as template for silver electroless plating and thus conductive Ag/LSW fibers with high aspect ratio and electrically conductive were achieved. Moreover, Ag/LSW fibers were integrated into film and sealed with PVA to form the Ag/LSW/PVA membrane. Owing to the high conductivity and mechanical performance of PVA, the Ag/LSW/PVA membrane (1.2 mm) exhibited EMI shielding (62 dB), mechanical robustness (tensile strength reached to 89.7 MPa), and Joule heating capability (56 s to 101.3 °C). Impressively, the multifunctional membrane exhibits great potential in future smart oil stations, where under the premise of satisfying high-efficiency electromagnetic shielding, the Ag/LSW/PVA membrane can effectively absorb heavy crude oil through the Joule heating and porous structure and achieve double protection for electronic devices
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