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Pedosphere 2024年第4期34卷 837-842页

作者： Hang zhao Jingwei WU Changsen LI Yawen LIU Rui ZHANG Qiang zhao state Key Laboratory of Water Resources Engineering and Management Wuhan UniversityWuhan 430072China

Dear Editor,soil salinization is one of the main forms of global soil degradation,which seriously threatens food security production (Liu et al.,2022).Proper irrigation is the main management measure to control soil salinization (Aragüés et al.,2015;Machado and serralheiro,2017).For example,in Hetao Irrigation District in Inner Mongolia of northwestern China,the effects of irrigation,seasonal freezing-thawing,and evaporation have led to serious soil salinization *** the 1980s,autumn irrigation (AI) has typically been implemented widely in Hetao Irrigation District before soil freezing (Li et al.,2010;Lu et al.,2019),to leach the salts accumulated on the surface and maintain sufficient soil moisture to create a suitable environment for the next spring sowing.

关键词： soil freezing irrigation

A high-performance lithium anode based on N-doped composite graphene

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Rare Metals 2024年第3期43卷 1030-1036页

作者： Can Jiao Hao-Bo sun Li Zhang shang-Qian zhao Guo-Yao Pang Chun-Rong zhao shi-Gang Lu General Research Institute for Nonferrous Metals Beijing100088China China Automotive Battery Research Institute Co.Ltd Beijing101407China

Lithium(Li)metal is the most promising electrode for next-gene ration rechargeable *** order to push the commercialization of the lithium metal batteries,a kind of nitrogen(N)-doped composite graphene(NCG)adopted as the Li plating host was prepared to regulate Li metal nucleation and suppress dendrite ***,a new kind of sandwich-type composite lithium metal(sTCL)electrode was developed to improve its *** sTCL electrode can be used as convenient as a piece of Li foil but no dendrite *** a symmetric battery,the sTCL electrode cycled for more than 4500 h with the overpotential of less than 40 *** due to the creative design,the sTCL promises the Li-s battery with a prolonged cycling lifespan.

关键词： Lithium metal anode Lithiophilic N-doped composite graphene sandwich-type composite lithium metal electrode

Dynamic interwell connectivity analysis of multi-layer waterflooding reservoirs based on an improved graph neural network

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Petroleum science 2024年第2期21卷 1062-1080页

作者： zhao-Qin Huang zhao-Xu Wang Hui-Fang Hu shi-Ming Zhang Yong-Xing Liang Qi Guo Jun Yao school of Petroleum Engineering China University of Petroleum(East China)Qingdao266580ShandongChina Exploration and Development Research Institute Shengli OilfieldSINOPECDongying257015ShandongChina

The analysis of interwell connectivity plays an important role in the formulation of oilfield development plans and the description of residual oil distribution. In fact, sandstone reservoirs in China's onshore oilfields generally have the characteristics of thin and many layers, so multi-layer joint production is usually adopted. It remains a challenge to ensure the accuracy of splitting and dynamic connectivity in each layer of the injection-production wells with limited field data. The three-dimensional well pattern of multi-layer reservoir and the relationship between injection-production wells can be equivalent to a directional heterogeneous graph. In this paper, an improved graph neural network is proposed to construct an interacting process mimics the real interwell flow regularity. In detail, this method is used to split injection and production rates by combining permeability, porosity and effective thickness, and to invert the dynamic connectivity in each layer of the injection-production wells by attention *** on the material balance and physical information, the overall connectivity from the injection wells,through the water injection layers to the production layers and the output of final production wells is established. Meanwhile, the change of well pattern caused by perforation, plugging and switching of wells at different times is achieved by updated graph structure in spatial and temporal ways. The effectiveness of the method is verified by a combination of reservoir numerical simulation examples and field example. The method corresponds to the actual situation of the reservoir, has wide adaptability and low cost, has good practical value, and provides a reference for adjusting the injection-production relationship of the reservoir and the development of the remaining oil.

关键词： Graph neural network Dynamic interwell connectivity Production-injection splitting Attention mechanism Multi-layer reservoir

synergy between CssT galaxy survey and gravitational-wave observation: Inferring the Hubble constant from dark standard sirens

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science China(Physics,Mechanics & Astronomy) 2024年第3期67卷 7-19页

作者： Ji-Yu song Ling-Feng Wang Yichao Li Ze-Wei zhao Jing-Fei Zhang Wen zhao Xin Zhang Key Laboratory of Cosmology and Astrophysics(Liaoning)&College of sciences Northeastern UniversityShenyang 110819China CAs Key Laboratory for Researches in Galaxies and Cosmology Department of AstronomyUniversity of Science and Technology of ChinaChinese Academy of SciencesHefei 230026China school of Astronomy and space sciences University of Science and Technology of ChinaHefei 230026China National Frontiers science Center for Industrial Intelligence and systems Optimization Northeastern UniversityShenyang 110819China Key Laboratory of Data Analytics and Optimization for smart Industry(Ministry of Education) Northeastern Universty Shenyang 110819China

Gravitational waves(GWs) from compact binary coalescences encode the absolute luminosity distances of GW sources. Once the redshifts of GW sources are known, one can use the distance-redshift relation to constrain cosmological parameters. One way to obtain the redshifts is to localize GW sources by GW observations and then use galaxy catalogs to determine redshifts from a statistical analysis of redshift information of the potential host galaxies, commonly referred to as the dark siren method. The third-generation(3G) GW detectors are planned to work in the 2030s and will observe numerous compact binary *** these GW events as dark sirens requires high-quality galaxy catalogs from future sky survey projects. The China space station Telescope(CssT) will be launched in 2024 and will observe billions of galaxies within a 17500 deg^(2) survey area with redshift up to z ~ 4, providing photometric and spectroscopic galaxy catalogs. In this work, we simulate the CssT galaxy catalogs and the 5-year GW data from the 3G GW detectors and combine them to infer the Hubble constant(H_(0)). Our results show that the measurement precision of H0could reach the sub-percent level, meeting the standard of precision cosmology. We conclude that the synergy between CssT and the 3G GW detectors is of great significance in measuring the Hubble constant.

关键词： CssT galaxy survey galaxy catalogs gravitational waves dark sirens the Hubble constant

single-atom catalysts supported on graphene/electride heterostructures for the enhanced sulfur reduction reaction in lithium-sulfur batteries

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Journal of Energy Chemistry 2024年第10期97卷 738-746,I0015页

作者： siyun Qi Chuanchuan Li Gang Chen Mingwen zhao school of Physics and Electronics Shandong Normal UniversityJinan 250358ShandongChina Qingdao Industrial Energy storage Research Institute Qingdao Institute of Bioenergy and Bioprocess TechnologyChinese Academy of SciencesQingdao 26611ShandongChina school of Physics&state Key Laboratory of Crystal Materials Shandong UniversityJinan 250100ShandongChina

single-atom catalysts(sACs)hold great promise in addressing the sluggish kinetics of the sulfur reduction reaction(sRR)in lithium-sulfur(Li-s)batteries for their unique catalytic activity and maximum atom *** these sACs must be dispersed on solid substrates,the underlying support is usually limited to carbon materials that have a poor ability to modulate the coordination environment and electronic structures of single atoms,and consequently their catalytic activity toward the sRR is *** we propose two-dimensional(2D)graphene/electride heterostructu res as substrates to enhance the catalytic activities of sACs for Li-s batteries.2D electrides featuring the anionic electron gas on their surface enable efficient electron transfer to sACs,which alters their electronic structures,resulting in the shifts of the d orbital and Fermi *** unique electronic structure decreases the filling of antibonding states such that the bonding with adsorbates at active sites is *** demonstrate the enhanced catalytic performance of sACs in terms of the Gibbs free energy of sRR and Li_(2)s *** addition,a universal descriptor for the rapid screening of sACs is established by a linear regression fitting *** work provides a new design strategy to modulate sAC activity through electrides for Li-s batteries.

关键词： Electrides DFT calculations Kinetics Universal descriptors Charge transfers

A toroidal sAW gyroscope with focused IDTs for sensitivity enhancement

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Microsystems & Nanoengineering 2024年第2期10卷 47-56页

作者： Lu Tian Haitao zhao Qiang shen Honglong Chang Ministry of Education Key Laboratory of Micro and Nano systems for Aerospace School of Mechanical EngineeringNorthwestern Polytechnical UniversityXi’an710072China

A surface acoustic wave(sAW)gyroscope measures the rate of rotational angular velocity by exploiting a phenomenon known as the sAW gyroscope *** a gyroscope is a great candidate for application in harsh environments because of the simplification of the suspension vibration mechanism necessary for traditional microelectromechanical system(MEMs)***,for the first time,we propose a novel toroidal standing-wave-mode sAW gyroscope using focused interdigitated transducers(FIDTs).Unlike traditional sAW gyroscopes that use linear IDTs to generate surface acoustic waves,which cause beam deflection and result in energy dissipation,this study uses FIDTs to concentrate the sAW energy based on structural features,resulting in better focusing performance and increased sAW *** experimental results reveal that the sensitivity of the structure is 1.51µV/(°/s),and the bias instability is 0.77°/s,which are improved by an order of magnitude compared to those of a traditional sAW ***,the FIDT component can enhance the performance of the sAW gyroscope,demonstrating its superiority for angular velocity *** work provides new insights into improving the sensitivity and performance of sAW gyroscopes.

关键词： angular deflection gyroscope

satellite anomaly detection based on reconstruction discrepancy theory utilizing a new dual-branch reconstruction model

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science China Technological sciences 2024年第10期67卷 3294-3307页

作者： zhao HaoTian QIU shi LIU Ming CAO XiBin Research Center of satellite Technology School of AstronauticsHarbin Institute of Technology

To enhance the accuracy of deep learning methods based on reconstruction discrepancy in satellite anomaly detection tasks, this study proposes a dual-branch reconstruction model(DBRM) and designs a comprehensive satellite anomaly detection framework around this model. Firstly, we introduce the temporal-channel mixer(TC-Mixer) module, which mainly comprises a self-attention layer for capturing long-range temporal dependencies in telemetry data, and two types of feed-forward networks(FFN) for extracting complex patterns in the temporal and channel dimension of telemetry data. This design endows the TC-Mixer module with robust capabilities for extracting complicated dependencies in telemetry data. secondly, with the TC-Mixer module as the main component, we designed the DBRM. This model utilizes a shared latent representation layer, allowing the regeneration branch and forecasting branch of the DBRM to share most of the feature extraction network architecture. This approach significantly enhances the model's regression accuracy while reducing computational complexity. Thirdly, using the DBRM as the core network model, we devised a comprehensive satellite anomaly detection framework. This includes an anomaly criterion that considers the reconstruction discrepancy of both the regeneration and forecasting branches, the peak-over-threshold(POT) method for anomaly thresholding, and the MIC-based feature engineering method, etc. Finally, we conducted comparative experiments with several sOTA anomaly detection algorithms on two public and one private satellite anomaly detection datasets. The experimental results validate the effectiveness and superiority of our proposed method.

关键词： anomaly detection reconstruction discrepancy dual-branch reconstruction model (DBRM) satellite telemetry data time series

stability analysis and stabilization of semi-Markov jump linear systems with unavailable sojourn-time information

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science China(Information sciences) 2024年第7期67卷 211-223页

作者： Xiaotai WU Yang TANG shuai MAO Ying zhao school of Mathematics and Physics Anhui Polytechnic University Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology

This study addresses the stability and stabilization problems of discrete-time semi-Markov jump linear systems(s-MJLss) with unavailable sojourn-time information. The sojourn-time probability mass functions(s-TPMFs) of discrete-time semi-Markov chains are no longer confined to the geometric distribution, and it is difficult to obtain accurate and comprehensive information for s-TPMFs in practice. This is because s-TPMFs are usually deduced from the statistical characteristics according to the sampled-data, while adequate samples are often costly and time consuming. In this study, when the s-TPMFs for semi-Markov chains are assumed to be unavailable, the σ-error mean square stability is investigated for discrete-time s-MJLss with some widely used assumptions; for semi-Markov chains, only the transition probability matrix of the embedded chain is used. In addition, the existence conditions of the effective controller are provided for closed-loop systems without using the information of s-TPMFs. Numerical examples are presented to illustrate the validity of the obtained theoretical results.

关键词： semi-Markov chain semi-Markov jump linear systems $\sigma$-error mean square stability unavailable sojourn-time information

Hybrid stacking ensemble algorithm and simulated annealing optimization for stability evaluation of underground entry-type excavations

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Underground space 2024年第4期17卷 25-44页

作者： Leilei Liu Guoyan zhao Weizhang Liang Zheng Jian school of Resources and safety Engineering Central South UniversityChangsha 410083China

The stability of underground entry-type excavations(UETEs)is of paramount importance for ensuring the safety of mining *** more engineering cases are accumulated,machine learning(ML)has demonstrated great potential for the stability evaluation of *** this study,a hybrid stacking ensemble method aggregating support vector machine(sVM),k-nearest neighbor(KNN),decision tree(DT),random forest(RF),multilayer perceptron neural network(MLPNN)and extreme gradient boosting(XGBoost)algorithms was proposed to assess the stability of ***,a total of 399 historical cases with two indicators were collected from seven ***,to pursue better evaluation performance,the hyperparameters of base learners(sVM,KNN,DT,RF,MLPNN and XGBoost)and meta learner(MLPNN)were tuned by combining a five-fold cross validation(CV)and simulated annealing(sA)*** on the optimal hyperparameters configuration,the stacking ensemble models were constructed using the training set(75%of the data).Finally,the performance of the proposed approach was evaluated by two global metrics(accuracy and Cohen’s Kappa)and three within-class metrics(macro average of the precision,recall and F1-score)on the test set(25%of the data).In addition,the evaluation results were compared with six base learners optimized by *** hybrid stacking ensemble algorithm achieved better comprehensive performance with the accuracy,Kappa coefficient,macro average of the precision,recall and F1-score were 0.92,0.851,0.885,0.88 and 0.883,*** rock mass rating(RMR)had the most important influence on evaluation ***,the critical span graph(CsG)was updated based on the proposed model,representing a significant improvement compared with the previous *** study can provide valuable guidance for stability analysis and risk management of ***,it is necessary to consider more indicators and collect more extensive and balanced dataset to validate the model in futur

关键词： Underground entry-type excavations(UETEs) Hybrid stacking ensemble Machine learning simulated annealing Critical span graph Base and meta learners

Adaptive 5G-and-beyond network-enabled interpretable federated learning enhanced by neuroevolution

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science China(Information sciences) 2024年第7期67卷 107-132页

作者： Bin CAO Jianwei zhao Xin LIU Yun LI state Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology school of Artificial Intelligence Hebei University of Technology school of Economics and Management Hebei University of Technology Industrial Artificial Intelligence Centre Shenzhen Institute for Advanced StudyUniversity of Electronic Science and Technology of China

Mobile telemedicine systems based on the next-generation communication will significantly enhance deep fusion of network automation and federated learning(FL), but data privacy is a paramount issue in sectors like healthcare. This work hence considers FL augments 5G-and-beyond networks by training deep learning(DL) models without the need to exchange raw data. The substantial communication loads imposed on by extensive parameters involved in DL models are managed through adaptive scheduling mechanisms effectively. To address the opaque nature of DL models and to improve the interpretability of FL models, we introduce a convolutional fuzzy rough neural network specifically designed for medical image processing. We also develop a multiobjective memetic evolutionary algorithm to streamline and optimize the neural network architectures. Our comprehensive FL framework integrates smart scheduling, interpretable fuzzy rough logic,and neuroevolution. This framework is shown to improve communication efficiency, increase interpretability of diagnosis with protected privacy, and generate low-complexity neural architectures.

关键词： 5G-and-beyond network interpretable federated learning mobile telemedicine system fuzzy rough set theory neuroevolution