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Constructing 3d Flower-Like Lafe Bimetal Oxides with Abundant Mesoporous and Controllable Active Sites for High-Efficient Phosphorus Removal: Synthesis, Mechanism, and Application

SSRN

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SSRN 2022年

作者： Jing, Xiaoxu Li, Yungui Shen, Yi Li, Qingqing Fang, Qile Advanced Institute of Natural Sciences Beijing Normal University at Zhuhai Zhuhai519087 China Sichuan Provincial Sci-Tech Cooperation Base of Low-cost Wastewater Treatment Technology Department of Environmental Engineering Southwest University of Science and Technology Mianyang621010 China State Key Laboratory of Water Environment Simulation School of Environment Beijing Normal University Beijing100875 China Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province College of Environment Zhejiang University of Technology Hangzhou310032 China

The design of high-performance porous adsorbents for phosphorus removal is a persistently hot topic to maintain a sustainable aquatic ecosystem. In the present study, a self-templating strategy using LaFe cyanometallates (CMs) as precursors was adopted to prepare porous LaFe bimetal oxides with optimizable structure and composition for phosphate adsorption. The results showed that a high supplied LaIII/FeII ratio enabled an adequate coordination polymerization in the preparation of LaFe CM precursor and led to a striking three-dimensional (3D) structure of "twin lotus flower" with high coordinated water content, which resulted in a 3D flower-like LaFe oxide with high surface area and high porosity (mainly in mesopore). The LaFe oxide of LaFe15T possessing the optimal La/Fe ratio (1.5:1) exhibited the most superior performance of phosphate adsorption, where La was confirmed to be the main active site for phosphate capture via ligand exchange mechanism. The batch and column tests of phosphate adsorption showed that the 3D flower-like LaFe oxides are effective adsorbents for phosphate removal. Therefore, the structure optimization in the template preparation stage is an effective strategy to design porous LaFe bimetal oxides as high-performance phosphorus removal materials. © 2022, The Authors. All rights reserved.

关键词： Structural design

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Analysis of overload-based cascading failure in multilayer spatial networks

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Chinese Physics B 2020年第9期29卷 404-414页

作者： Min Zhang Xiao-Juan Wang Lei Ji Mei Song Zhong-Hua Liao School of Science Beijing University of Posts and TelecommunicationsBeijing 100876China School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation CenterBeijing 100854China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System EngineeringBeijing 100854China

Many complex networks in real life are embedded in space and most infrastructure networks are interdependent,such as the power system and the transport *** this paper,we construct two cascading failure models on the multilayer spatial *** our research,the distance l between nodes within the layer obeys the exponential distribution P(l)~exp(-l/ζ),and the length r of dependency link between layers is defined according to node *** entropy approach is applied to analyze the spatial network structure and reflect the difference degree between *** metrics,namely dynamic network size and dynamic network entropy,are proposed to evaluate the spatial network robustness and *** the cascading failure process,the spatial network evolution is analyzed,and the numbers of failure nodes caused by different reasons are also counted,***,we discuss the factors affecting network *** demonstrate that the larger the values of average degree,the stronger the network *** the length r decreases,the network performs *** the probability p is small,asζdecreases,the network robustness becomes more *** p is large,the network robustness manifests better performance asζ*** results provide insight into enhancing the robustness,maintaining the stability,and adjusting the difference degree between nodes of the embedded spatiality systems.

关键词： cascading failure multilayer network load distribution spatial network entropy

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Multiple α sub-variants and anisotropic mechanical properties of an additively-manufactured Ti-6Al-4V alloy

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Journal of Materials Science & technology 2021年第11期70卷 113-124页

作者： Yinling Zhang Zhuo Chen Shoujiang Qu Aihan Feng Guangbao Mi Jun Shen Xu Huang Daolun Chen School of Materials Science and Engineering Tongji UniversityShanghai 201804China Department of Mechanical and Industrial Engineering Ryerson UniversityTorontoOntario M5B 2K3Canada Aerospace Hiwing(Harbin)Titanium Industrial Co. Ltd.Harbin High Tech ZoneHarbin 150028China Shanghai Key Lab.of D&A for Metal-Functional Materials School of Materials Science&EngineeringTongji UniversityShanghai 201804China Aviation Key Laboratory of Science and Technology on Advanced Titanium Alloys AECC Beijing Institute of Aeronautical MaterialsBeijing 100095China College of Mechatronics and Control Engineering Shenzhen UniversityShenzhen 518060China

Additive manu facturing(AM)is a promising material processing method which gains significant momentum in the aerospace and biomedical ***,the anisotropy in the mechanical properties of additively-manufactured materials is still poorly *** study was aimed at elucidating crystallographic feature-anisotropy-mechanical property relationship for a Ti-6Al-4V alloy manufactured via selective electron beam melting(SEBM).Abundantαlamellae with six variants were present inside the columnar prior-βgrains with a<100>fiber texture duringβ→αphase *** sixαvariants followed the Burgers orientation relationship of{110}_(β)//{0001}_(α)and<1-11>_(β)//<11-20>_(α).Multiple sub-variants in eachαvariant were observed for the first *** anisotropy in the mechanical properties was mainly related to the relative amount of sixα*** the horizontally-oriented samples had a lower yield strength,they exhibited a higher ductility and longer fatigue life than the vertically-oriented *** softening occurred at higher strain amplitudes,and cyclic stabilization sustained at lower strain *** crack mainly initiated from the specimen surface at lower strain amplitudes,while multiple crack initiation tended to occur at higher strain *** propagation was characterized by fatigue striations along with some secondary cracks.

关键词： Titanium alloy 3D printing Deformation behavior Anisotropy Burgers orientation relationship

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Exploration of the LHCb states and possible resonances in a unitary coupled-channel model

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The European Physical Journal C 2024年第7期84卷 1-10页

作者： Shen, Chao-Wei Rönchen, Deborah Meißner, Ulf-G. Zou, Bing-Song Wang, Yu-Fei Institute for Advanced Simulation (IAS-4) Forschungszentrum Jülich Jülich Germany Helmholtz-Institut für Strahlen- und Kernphysik and Bethe Center for Theoretical Physics Universität Bonn Bonn Germany Tbilisi State University Tbilisi Georgia Department of Physics Tsinghua University Beijing China CAS Key Laboratory of Theoretical Physics Institute of Theoretical Physics Chinese Academy of Sciences Beijing China School of Physics University of Chinese Academy of Sciences (UCAS) Beijing China School of Nuclear Science and Technology University of Chinese Academy of Sciences (UCAS) Beijing China

We extend our previous study of the interactions of $$\bar{D}^{(*)} \Lambda _c - \bar{D}^{(*)}\Sigma _c^{(*)}$$ within an analytic, unitary, coupled-channel approach by including the $$J/\psi p$$ channel and performing fits to the $$J/\psi p$$ invariant mass distributions in the $$\Lambda _b^0 \rightarrow J/\psi p K^-$$ decay by the LHCb Collaboration. We take into account the contributions of t-channel pseudoscalar and vector meson exchanges and u-channel baryon exchanges in this work, and a series of bound states and resonances with different spin-parities are dynamically generated. According to the results, four states have a significant impact on the physical observables, with two having a spin-parity of $$1/2^-$$ and the other two having $$3/2^-$$ . These states can be associated with the LHCb hidden-charm pentaquarks. We further provide the coupling strength between each pole and different channels, which provides some insights on how to search for them in future experiments. Moreover, we also search for poles in higher partial waves up to $$J=7/2$$ and find indications for the existence of several states with larger widths.

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Semantic segmentation of track image based on deep neural network

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The Journal of China Universities of Posts and Telecommunications 2020年第5期27卷 23-33页

作者： Wang Zhaoying Zhou Junhua Liao Zhonghua Zhai Xiang Zhang Lianping School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Beijing Complex Product Advanced Manufacturing Kngineering Research Center Beijing Simulation CenterBeijing 100854China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System EngineeringBeijing 100854China Alibaba Cloud Computing Beijing 100020China

In this paper,deep learning technology was utilited to solve the railway track recognition in intrusion detection *** railway track recognition can be viewed as semantic segmentation task which extends image processing to pixel level *** encoder-decoder architecture DeepLabv3+model was applied in this work due to its good performance in semantic segmentation *** images of the railway track collected from the video surveillance of the train cab were used as experiment dataset in this work,the following improvements were made to the *** first aspect deals with over-fitting problem due to the limited amount of training *** augmentation and transfer learning are applied consequently to rich the diversity of data and enhance model robustness during the training ***,different gradient descent methods are compared to obtain the optimal optimizer for training model *** third problem relates to data sample imbalance,cross entropy(CE)loss is replaced by focal loss(FL)to address the issue of serious imbalance between positive and negative *** of the improved DeepLabv3+model with above solutions is demonstrated by experiment results with different system parameters.

关键词： railway track recognition convolutional neural networks semantic segmentation DeepLabv3+

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Detection and control of electronic orbital magnetism by spin waves in honeycomb ferromagnets

arXiv

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arXiv 2025年

作者： Zhang, Lichuan Zhang, Lu Go, Dongwook Niu, Chengwang Wulfhekel, Wulf Li, Peng Chen, Yuanping Mokrousov, Yuriy Zhang, Lizhi School of Physics and Electronic Engineering Jiangsu University Zhenjiang212013 China Jiangsu Engineering Research Center on Quantum Perception and Intelligent Detection of Agricultural Information Zhenjiang212013 China Peter Grünberg Institut Institute for Advanced Simulation Forschungszentrum Jülich JARA Jülich52425 Germany Institute of Physics Johannes Gutenberg University Mainz Mainz55099 Germany School of Physics State Key Laboratory of Crystal Materials Shandong University Jinan250100 China Physikalisches Institut Karlsruhe Institute of Technology Karlsruhe76131 Germany School of Microelectronics University of Science and Technology of China Hefei230026 China Laboratory of Theoretical and Computational Nanoscience National Center for Nanoscience and Technology Beijing100190 China

Exploring and manipulating the orbital degrees of freedom in solids has become a fascinating research topic in modern magnetism. Here, we demonstrate that spin waves can provide a way to control electronic orbital magnetism by the mechanism of scalar spin chirality, allowing for experimental detection using techniques such as the magneto-optical Kerr effect and scanning transmission electron microscopy. By applying linear spin wave theory, we uncover that electronic magnon-driven orbital magnetization is extremely sensitive to the character of the magnonic excitations. Furthermore, we show that both the induced electronic orbital magnetism and the Nernst transport properties of the orbital angular momentum can be regulated by the strength of the Dzyaloshinskii-Moriya interaction, Kitaev interaction, as well as the direction and magnitude of the external magnetic field. We argue that magnon-mediated electronic orbital magnetism presents an emergent variable which has to be taken into account when considering the physics of coupling magnonic excitiations to phonons and light. © 2025, CC BY-NC-SA.

关键词： Spin waves

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Observation of dimethyl esters of C4-C6 aliphatic acids in the indoor air of several new apartments in Beijing, China 16

Observation of dimethyl esters of C4-C6 aliphatic acids in t...

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16th Conference of the International Society of Indoor Air Quality and Climate: Creative and Smart Solutions for Better Built Environments, Indoor Air 2020

作者： Qiu, Jia Xie, Di Li, Yatai Qu, Yuekun Liu, Ying Zhu, Tong Liu, Yingjun Key Joint Laboratory of Environmental Simulation and Pollution Control College of Environmental Science and Engineering Peking University Beijing100871 China Beijing Innovation Center for Engineering Science and Advanced Technology Peking University Beijing100871 China

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An optimization method of the nose-cone buncher cavity 29

An optimization method of the nose-cone buncher cavity

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29th International Linear Accelerator Conference, LINAC 2018

作者： Liu, W.L. Cong, P.T. Wang, Z.M. Zheng, S.X. Jiang, H.P. State Key Laboratory of Intense Pulsed Radiation Simulation and Effect Northwest Institute of Nuclear Technology Xi'an710024 China Department of Engineering Physics Tsinghua University Beijing100084 China Key Laboratory of Particle and Radiation Imaging Tsinghua University Ministry of Education Beijing100084 China Laboratory for Advanced Radiation Sources and Application Tsinghua University Beijing100084 China Space Environment Simulation Research Infrastructure Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)9783954501946

The nose-cone buncher cavity is widely used on proton accelerators. It's important to properly optimize the cavity geometry for fine RF performance. However, currently the optimization is usually carried out manually and the criteria are not objective enough. In this paper, an optimization method using the multi-objective, multi-variable optimization approach is presented. The geometry and RF parameters are considered as the variables and objectives respectively. The goal function is defined as the weighted sum of multiple RF parameters. The multi-variable functions are approximately derived from the single-variable functions based on electromagnetic simulation. And an optimization code is developed accordingly which has been applied to the XiPAF debuncher optimization. Content from this work may be used under the terms of the CC BY 3.0 licence (© 2018).

关键词： Nose cones

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Physical Mechanism and Data Hybrid Modeling for Device-Level Emulation of Modular Multilevel Converter

Physical Mechanism and Data Hybrid Modeling for Device-Level...

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Power and Electrical Engineering (ACPEE), 5th Asia Conference on

作者： Minhua Xie Yixuan Peng Jiayuan Zhang Haijun Tang Ruimin Zhu Wei Fan State Key Laboratory of Advanced Power Transmission Technology State Grid Smart Grid Research Institute Co. Ltd. Beijing China Beijing Key Laboratory of DC Grid Technology and Simulation State Grid Smart Grid Research Institute Co. Ltd. Beijing China School of Electrical and Electronics Engineering North China Electric Power University Baoding China Electric Power Research Institute of State Grid Liaoning Electric Power Co Ltd. State Grid Liaoning Electric Power Co. Ltd. Shenyang China

In the modular multilevel converter (MMC), the insulated gate bipolar transistor (IGBT) is one of the most important devices for power conversion. Therefore, an accurate and efficient model of the sub-module is significant for design, monitoring and diagnosis of valve towers. Due to the complex multi-physics field inside the semiconductor device, it is laborious to describe the physical mechanism model in detail. Traditional mechanism models cannot meet the requirements of digital twin applications. In this paper, a new modeling method for sub-modules based on long short-term memory neural network is developed and the model is integrated into the traditional model of MMC for simulation, which is a physical mechanism and data hybrid modeling method to retain both of their advantages.

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Real-time characterization of VOC exposure in a few new residential apartments in Beijing 16

Real-time characterization of VOC exposure in a few new resi...

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16th Conference of the International Society of Indoor Air Quality and Climate: Creative and Smart Solutions for Better Built Environments, Indoor Air 2020

作者： Liu, Yingjun Xie, Di Qiu, Jia Li, Yatai Qu, Yuekun Liu, Ying Zhu, Tong Key Joint Laboratory of Environmental Simulation and Pollution Control College of Environmental Sciences and Engineering Peking University Beijing100871 China Beijing Innovation Center for Engineering Science and Advanced Technology Peking University Beijing100871 China

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