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Upcycling electroplating sludge into bioengineering-enabled highly stable dual-site Fe-Ni_(2)P@C electrocatalysts for efficient oxygen evolution

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Nano Research 2024年第8期17卷 6984-6992页

作者： Jiawen Liu Zunpeng Zuo feng Gao Kai Yi Jiahui lin Mengye Wang Zhang lin feng Huang State Key Laboratory of Optoelectronic Materials and Technologies School of MaterialsSun Yat-Sen UniversityGuangzhou 510275China Department of Chemistry City University of Hong KongHong Kong 999077China School of Metallurgy and Environment Central South UniversityChangsha 410083China Ganjiang Innovation Academy Chinese Academy of SciencesGanzhou 341000China

The advancement of bimetallic catalysts holds significant promise for the innovation of oxygen evolution reaction(OER)*** from adsorbate evolution mechanism(AEM)and lattice oxygen oxidation mechanism(LOM),the incorporation of dual active sites has the potential to foster novel OER pathways,such as the coupled oxygen evolution mechanism(COM),which can surpass the limitations of OER and elevate catalytic *** this study,uniformly distributed Fe/Ni dual-site Fe-Ni_(2)P@C electrocatalysts are crafted by upcycling metals in electroplating sludge via an eco-friendly and sustainable microbial engineering *** findings indicate that a substantial number of defects emerge at the Ni2P crystal during the OER process,laying the groundwork for lattice oxygen ***,the displacement of Ni/Fe in the crystal lattice intensifies the asymmetry of the electronic structure at the metal active sites,facilitating the deprotonation *** research introduces an innovative paradigm for the synthesis of effective and robust transition metal-based OER catalysts,with implications for sustainable energy generation technologies.

关键词： oxygen evolution reaction dual active sites adsorbate evolution mechanism lattice oxygen mechanism bioengineering

Deterministic generation of multi-photon bundles in a quantum Rabi model

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Science China(Physics,Mechanics & Astronomy) 2023年第2期66卷 1-12页

作者： Cheng Liu Jin-feng Huang lin Tian Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Key Laboratory for Matter Microstructure and Function of Hunan ProvinceDepartment of Physics and Synergetic Innovation Center for Quantum Effects and ApplicationsHunan Normal UniversityChangsha 410081China School of Natural Sciences University of CaliforniaMerced 95343USA

Multi-photon bundle states are crucial for a broad range of applications such as quantum metrology,quantum lithography,quantum communication,and quantum *** we propose a scheme that generates multi-photon bundles via virtual excitations in a quantum Rabi *** approach utilizes a Ξ-type three-level atom,where the upper two levels are coupled to a cavity field to form a quantum Rabi model with ultrastrong coupling,and the transition between the lower two levels is driven by two sequences of Gaussian *** show that the driving pulses induce deterministic emission of multiple photons from the eigenstates of the quantum Rabi model via the stimulated Raman adiabatic passage technique,and hence can create bundles of multiple photons on-demand in the cavity output *** calculate the generalized second-order correlation functions of the output photons,which reveal that the emitted photons form antibunched multi-photon bundles.

关键词： field quantum bundles

Landscape eco-environmental research on littoral zone in China

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Journal of Environmental Sciences 2004年第3期16卷 490-496页

作者： PEngJian WAngYang-lin JIngJuan LIWei-feng DIngYan CollegeofEnvironmentalSciences PekingUniversityBeijing100871China

Littoral zone is a special land/ landscape type. As an important kind of land resource in support, the use of littoral zone is vital to eastern coastal areas in China. And the research on littoral zone relates to the key theory of landscape ecology. Based on the theory of landscape ecology, the littoral zone was divided into four types: mud flat, sand beach, bench, and biological flat. The distribution of each type in China is pointed out. As a typical open system, littoral zone has six landscape ecological characteristics: (1) high sensitivity to disturbance; (2) distinct edge effect; (3) spatial aggregation of natural resources; (4) frequently spatial oscillation; (5) obviously spatial heterogeneity; and (6) noticeably spatial differentiation. Some proposals are also put forward on the land use and development of littoral zone for environmental protection and environmental management.

关键词： landscape eco environment littoral zone China

Anovel multi-dimensional features fusion algorithm for the EEG signal recognition of brain’s sensorimotor region activated tasks

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International Journal of Intelligent Computing and Cybernetics 2020年第2期13卷 239-260页

作者： Minghua Wei feng lin Department of Information and Technology Fuzhou PolytechnicFuzhouChina

Purpose-Aiming at the shortcomings of EEG signals generated by brain’s sensorimotor region activated tasks,such as poor performance,low efficiency and weak robustness,this paper proposes an EEG signals classification method based on multi-dimensional fusion ***/methodology/approach-First,the improved Morlet wavelet is used to extract the spectrum feature maps from EEG ***,the spatial-frequency features are extracted from the PSD maps by using the three-dimensional convolutional neural networks(3DCNNs)***,the spatial-frequency features are incorporated to the bidirectional gated recurrent units(Bi-GRUs)models to extract the spatial-frequencysequential multi-dimensional fusion features for recognition of brain’s sensorimotor region activated ***-In the comparative experiments,the data sets of motor imagery(MI)/action observation(AO)/action execution(AE)tasks are selected to test the classification performance and robustness of the proposed *** addition,the impact of extracted features on the sensorimotor region and the impact on the classification processing are also analyzed by visualization during ***/value-The experimental results show that the proposed algorithm extracts the corresponding brain activation features for different action related tasks,so as to achieve more stable classification performance in dealing with AO/MI/AE tasks,and has the best robustness on EEGsignals of different subjects.

关键词： Brain’s sensorimotor region activated tasks Brain-computer interface Morlet wavelet 3DCNNs model Bi-GRUs model

Effect of hot isostatic pressure on the microstructure and tensile properties of γ'-strengthened superalloy fabricated through induction-assisted directed energy deposition

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International Journal of Minerals,Metallurgy and Materials 2024年第5期31卷 1089-1097页

作者： Jianjun Xu Hanlin Ding Xin lin feng Liu Analytical&Testing Center Northwestern Polytechnical UniversityXi’an 710072China State Key Laboratory of Solidification Processing Northwestern Polytechnical UniversityXi’an 710072China

The microstructure characteristics and strengthening mechanism of Inconel738LC(IN-738LC) alloy prepared by using induction-assisted directed energy deposition(IDED) were elucidated through the investigation of samples subjected to IDED under 1050℃ preheating with and without hot isostatic pressing(HIP,1190℃,105 MPa,and 3 h).Results show that the as-deposited sample mainly consisted of epitaxial columnar crystals and inhomogeneously distributed γ’ phases in interdendritic and dendritic core *** HIP,grain morphology changed negligibly,whereas the size of the γ’ phase became increasingly *** further heat treatment(HT,1070℃,2 h + 845℃,24 h),the γ’ phase in the as-deposited and HIPed samples presented a bimodal size distribution,whereas that in the as-deposited sample showed a size that remained *** comparison of tensile properties revealed that the tensile strength and uniform elongation of the HIP + HTed sample increased by 5% and 46%,respectively,due to the synergistic deformation of bimodal γ’phases,especially large cubic γ’ ***,the relationship between phase transformations and plastic deformations in the IDEDed sample was discussed on the basis of generalized stability theory in terms of the trade-off between thermodynamics and kinetics.

关键词： directed energy deposition Ni-based superalloys high-temperature preheating hot isostatic pressing microstructure tensile properties

Internet of things intrusion detection model and algorithm based on cloud computing and multi-feature extraction extreme learning machine

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Digital Communications and Networks 2023年第1期9卷 111-124页

作者： Haifeng lin Qilin Xue Jiayin feng Di Bai Nanjing Forestry University China Nanjing Agricultural University China Hebei Normal University of Science and Technology China

With the rapid development of the Internet of Things(IoT),there are several challenges pertaining to security in IoT *** with the characteristics of the traditional Internet,the IoT has many problems,such as large assets,complex and diverse structures,and lack of computing *** network intrusion detection systems cannot meet the security needs of IoT *** view of this situation,this study applies cloud computing and machine learning to the intrusion detection system of IoT to improve detection ***,traditional intrusion detection algorithms require considerable time for training,and these intrusion detection algorithms are not suitable for cloud computing due to the limited computing power and storage capacity of cloud nodes;therefore,it is necessary to study intrusion detection algorithms with low weights,short training time,and high detection accuracy for deployment and application on cloud *** appropriate classification algorithm is a primary factor for deploying cloud computing intrusion prevention systems and a prerequisite for the system to respond to intrusion and reduce intrusion *** paper discusses the problems related to IoT intrusion prevention in cloud computing *** on the analysis of cloud computing security threats,this study extensively explores IoT intrusion detection,cloud node monitoring,and intrusion response in cloud computing environments by using cloud computing,an improved extreme learning machine,and other *** use the Multi-Feature Extraction Extreme Learning Machine(MFE-ELM)algorithm for cloud computing,which adds a multi-feature extraction process to cloud servers,and use the deployed MFE-ELM algorithm on cloud nodes to detect and discover network intrusions to cloud *** our simulation experiments,a classical dataset for intrusion detection is selected as a test,and test steps such as data preprocessing,feature engineering,model training,an

关键词： Internet of Things Cloud Computing Intrusion Prevention Intrusion Detection Extreme Learning Machine

Research on the energy evolution characteristics and the failure intensity of rocks

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International Journal of Mining Science and Technology 2020年第5期30卷 705-713页

作者： lin Gao feng Gao Zhizhen Zhang Yan Xing School of Mechanics and Civil Engineering China University of Mining and TechnologyXuzhou 221116China State Key Laboratory for Geomechanics and Deep Underground Engineering China University of Mining and TechnologyXuzhou 221116China

It is pretty challenging and difficult to quantitatively evaluate the intensity of dynamic disasters in deep mining *** on the uniaxial loading-unloading experiments for five types of rocks,this paper investigated the energy evolution characteristics,and identified the damage and crack propagation ***,the fragment size distributions of the rocks after failure were *** energy release rate(Ge)and energy dissipation rate(Gd)were then proposed to describe the change of energies per unit volume and per unit *** demonstrated that the more brittle rocks had the shorter stage of unstable crack growth and the lower induced damage at crack damage *** evolution characteristics of the strain energy rates can be easily identified by the crack propagation *** failure intensity index(FId),which equals to the values of Ge/Gd at the failure point,was further put *** can account for the brittleness of the rocks,the intensity of rock failure as well as the degree of rock *** was revealed that a higher FId corresponded to a lower fractal dimension and stronger dynamic failure.

关键词： Energy evolution Crack propagation thresholds Damage Energy release rate Energy dissipation rate Failure intensity

Evaluation of Voltage Quality and Energy Saving Benefits of Urban Rail Transit Power Supply Systems Considering the Access of Photovoltaics

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CSEE Journal of Power and Energy Systems 2023年第6期9卷 2309-2320页

作者： Ding feng Hengkai Zhu feng Wang Xiaojun Sun Sheng lin Zhengyou He the School of Electrical Engineering Southwest Jiaotong UniversityChengdu 611756China. China Railway Design Group Co. Ltd.Tianjin 300000China

Along the route of urban rail transit(URT),the subway depots,parking lots,and elevated subway stations are equipped with sufficient photovoltaic(PV)generation *** access of PVs in the URT power supply system should not only make full use of nearby renewable energy,but also improve the economic operation of the *** order to quantify the impact of PV access on the URT power supply system,this paper proposes a method to evaluate the voltage quality and energy saving benefits of the URT power supply system,considering PV ***,by fully considering the random fluctuations of PV output power,as well as the intermittency and impact of traction load,the URT power supply system with PV access is ***,such values as system voltage and power are calculated through the hybrid AC/DC load flow calculation *** with the results of the load flow calculation,the indicators describing voltage quality and power saving benefits of the system are proposed to quantify the influence of PV access on the ***,a case study concerning a certain section of a subway line is presented to verify the proposed *** shows that the proposed method can effectively quantify the voltage quality and power saving benefits of the system after PV access,providing valuable insights for design and maintenance personnel to comprehend system state and operating characteristics.

关键词： Energy saving benefits photovoltaics urban rail transit voltage quality

Discrete element method study of parameter optimization and particle mixing behaviour in a soil mixer

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Particuology 2023年第10期81卷 1-14页

作者： Ming Bao Jiming lin feng Zhang Jianhong Yang College of Mechanical Engineering and Automation Huaqiao UniversityXiamen361021China Postdoctoral Workstation Fujian South Highway Machinery CompanyQuanzhou362021China

Soil mixing is an emerging research in the field of construction resource *** this study,the mixing behaviour of soil particles in a mixer is numerically simulated by the discrete element method(DEM).A four-factor,three-level orthogonal experiment is designed to optimize the mixer design by selecting the fly-cutter speed,spindle speed,number of blades and fly-cutter diameter,using Lacey mixing index and power consumption as evaluation ***,the impact of soil cohesion and type on the mixing behaviour is *** results show that the optimal parameter combination of this experiment is 280 rpm fly-cutter speed,40 rpm spindle speed,4 blades and 250 mm fly-cutter *** optimal combination reaches a comparatively uniform state mix in 5.9 s with an average power consumption of 704.11 *** addition,the wear and tear of the mixer increases as soil cohesion increases,while the mixing quality of materials declines,resulting in a“shaft hugging”*** mixing efficiency varies greatly among different soil types,but the radial and tangential velocities have a similar *** work can provide some guidance for the optimization design of a mixer and study of soil mixing.

关键词： Soil mixing Discrete element method Orthogonal experiment Laceymixing index Soil cohesion