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Enhanced breakdown strength of BaTiO_(3)-based multilayer ceramic capacitor by structural optimization

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稀有金属:英文版 2023年第8期42卷 2552-2561页

作者： Qian liu Hua Hao Qing-Hu Guo Zhong-Hui Shen Jian Wang Ming-He Cao Zhong-Hua Yao han-xing liu State Key Laboratory of Advanced Technology for Materials Synthesis and Processing School of Material Science and EngineeringWuhan University of TechnologyWuhan 430070China Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory Foshan 528220China Sanya Science and Education Innovation Park of Wuhan University of Technology Sanya 572000China International School of Material Science and Engineering Wuhan University of TechnologyWuhan 430070China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Center of Smart Materials and DevicesWuhan University of TechnologyWuhan 430070China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing International School of Material Science and EngineeringWuhan University of TechnologyWuhan 430070China

0.5 wt%Nb_(2)O_(5)doped 0.12BiAlO_(3)-0.88BaTiO_(3)(12BA5N)multilayer ceramic capacitor(MLCC-1)was prepared,which satisfied EIA X7R specification(where X is the minimum temperature,R is the percentage of capacitance variation limit)at 1 *** distribution of internal electric field under breakdown voltage was simulated by finite element method(FEM),indicating that the electric field strength increased significantly at the terminal of internal *** areas may become the headstream of breakdown for MLCC-1 due to the shape *** order to improve the breakdown performance of MLCC-1,it was optimized by 12BA5N+2G green sheets(prepared by 12BA5N ceramic powder with 2 wt%B-Al-Si glass additive),then MLCC-2 was obtained which satisfied EIA X8R *** BDS rose from 20 to29.4 kV·mm^(-1),and the electric field distribution of dielectric layer was also analyzed by ***,it was also found that the grain size and the dielectric constants of"core"and"shell"parts for the 12BA5N+2G dielectric layer both contributed to the enhanced BDS of MLCC-2according to the simulation results from FEM.

关键词： Multilayer ceramic capacitor(MLCC) Breakdown strength(BDS) Simulation Grain size Dielectric constant

High-throughput data-driven interface design of high-energy-density polymer nanocomposites

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Journal of Materiomics 2020年第3期6卷 573-581页

作者： Zhong-Hui Shen Yang Shen Xiao-xing Cheng han-xing liu Long-Qing Chen Ce-Wen Nan State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Center of Smart Materials and DevicesWuhan University of TechnologyWuhan430070China School of Materials Science and Engineering State Key Lab of New Ceramics and Fine ProcessingTsinghua UniversityBeijing100084China Department of Materials Science and Engineering The Pennsylvania State UniversityUniversity ParkPA16802United States

Understanding the interface effect in dielectric nanocomposites is crucial to the enhancement of their *** this work,a data-driven interface design strategy based on high-throughput phase-field simulations is developed to study the interface effect and then optimize the permittivity and breakdown strength of ***,we use two microscopic features that are closely related to the macroscopic dielectric properties,the thickness and permittivity of the interface phases,to evaluate the role of interfaces in experimental configuration,and thus provide quantitative design schemes for the interfacial *** the polyvinyl difluoride(PVDF)-BaTiO_(3) nanocomposite as an example,the calculation results demonstrate that the interfacial polarization could account for up to 83.6% of the increase in the experimentally measured effective permittivity of the *** on the interface optimized strategy,a maximum enhancement of ~156% in the energy density could be achieved by introducing an interface phase with d/r=0.55 and ε_(interface)/ε_(filler)=0:036,compared to the pristine ***,the present work not only provides fundamental understanding of the interface effect in dielectric nanocomposites,but also establishes a powerful data-driven interface design framework for such materials that could also be easily generalized and applied to study interface issues in other functional nanocomposites,such as solid electrolytes and thermoelectrics.

关键词： Interface Polymer nanocomposites Energy storage Data-driven Phase-field simulation

A dynamic exploratory hybrid modelling framework for simulating complex and uncertain system

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Journal of Safety Science and Resilience 2024年第2期5卷 167-178页

作者： Gangqiao Wang han xing Yongqiang Chen Yi liu Institute of Big Data Inteligent Management and Decision-making College of ManagementShenzhen UniversityShenzhen 518060China School of Safety Science Tsinghua UniversityBejing 100084China Department of Mechanics and Engineering Science College of EngineeringPeking UniversityBejing 100871China

Complex disaster systems involve various components and mechanisms that could interact in complex ways and change over time,leading to significant deep *** to deep uncertainty,decision-makers have severe inadequacy of knowledge and often encounter unpredictable surprises that may emerge in the future,thus making it difficult to specify appropriate models and parameters to describe the system of *** this paper,we propose a dynamic exploratory hybrid modeling framework that fits data,models,and computational ex-periments together to simulate complex systems with deep *** the framework,one needs to develop multiple plausible models from a hybrid modeling perspective and perform enormous computational experi-ments to explore the diversity of future ***-time data is then incorporated into diverse forecasts to dynamically adjust the simulation *** ultimately enables an ongoing modeling and analysis process in which deep uncertainty would be gradually *** approach has been applied to a human-involved car-following system simulation under complex traffic *** results show that the proposed approach can improve the prediction accuracy while enhancing the sensitivity of the simulation system to uncertain changes in the system of interest.

关键词： Disaster modeling and analysis Deepuncertainty Hybrid modeling Adaptivesimulation

Designing polymer nanocomposites with high energy density using machine learning

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npj Computational Materials 2021年第1期7卷 999-1007页

作者： Zhong-Hui Shen Zhi-Wei Bao Xiao-xing Cheng Bao-Wen Li han-xing liu Yang Shen Long-Qing Chen Xiao-Guang Li Ce-Wen Nan State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Center of Smart Materials and DevicesWuhan University of TechnologyWuhanChina International School of Materials Science and Engineering Wuhan University of TechnologyWuhanChina Hefei National Laboratory for Physical Sciences at the Microscale Department of Physics and CAS Key Laboratory of Strongly-Coupled Quantum Matter Physics University of Science and Technology of China HefeiChina Department of Materials Science and Engineering The Pennsylvania State UniversityUniversity ParkPAUnited States School of Materials Science and Engineering State Key Lab of New Ceramics and Fine ProcessingTsinghua UniversityBeijingChina

Addressing microstructure-property relations of polymer nanocomposites is vital for designing advanced dielectrics for electrostatic energy ***,we develop an integrated phase-field model to simulate the dielectric response,charge transport,and breakdown process of polymer ***,based on 6615 high-throughput calculation results,a machine learning strategy is schemed to evaluate the capability of energy *** find that parallel perovskite nanosheets prefer to block and then drive charges to migrate along with the interfaces in x-y plane,which could significantly improve the breakdown strength of polymer *** verify our predictions,we fabricate a polymer nanocomposite P(VDF-HFP)/Ca_(2)Nb_(3)O_(10),whose highest discharged energy density almost doubles to 35.9 J cm^(−3) compared with the pristine polymer,mainly benefit from the improved breakdown strength of 853 MVm^(−1).This work opens a horizon to exploit the great potential of 2D perovskite nanosheets for a wide range of applications of flexible dielectrics with the requirement of high voltage endurance.

关键词： polymer energy perovskite

Needs and challenges of optical atmospheric monitoring on the background of carbon neutrality in China

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Frontiers of Environmental Science & Engineering 2024年第6期18卷 49-62页

作者： Wenqing liu Chengzhi xing Anhui Institute of Optics and Fine Mechanics Hefei Institutes of Physical ScienceChinese Academy of SciencesHefei 23001China

The achievement of the targets of coordinated control of PM2.5 and O3 and the carbon peaking and carbon neutrality depend on the development of pollution and greenhouse gas monitoring *** monitoring technology,based on its technical characteristics of high scalability,high sensitivity and wide-targets detection,has obvious advantages in pollution/greenhouse gases monitoring and has become an important direction in the development of environmental monitoring *** present,a system of environmental optical monitoring technology with differential optical absorption spectroscopy(DOAS),cavity ring-down spectroscopy(CRDS),light detection and ranging(LIDAR),laser heterodyne spectroscopy(LHS),tunable diode laser absorption spectroscopy(TDLAS),fourier transform infrared spectroscopy(FTIR)and fluorescence assay by gas expansion(FAGE)as the main body has been ***,with the promotion of“reduction of pollution and carbon emissions”strategy,there have been significant changes in the sources of pollution/greenhouse gases,emission components and emission concentrations,which have put forward new and higher requirements for the development of monitoring *** the future,we should pay more attention to the development of new optical monitoring techniques and the construction of stereoscopic monitoring system,the interdisciplinarity(among mathematics,physics,chemistry and biology,etc.),and the monitoring of greenhouse gases and research on atmospheric chemistry.

关键词： Pollution Greenhouse gas Optical atmospheric monitoring Needs and challenges

Impacts of Integrated Multi-Trophic Aquaculture on Phytoplankton in Sanggou Bay

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Journal of Ocean University of China 2024年第3期23卷 835-843页

作者： han Jichang liu xing PAN Kehou liu Jiaojiao SUN Yan JIN Guiyong LI Yun LI Yuhang College of Food Science and Engineering Ningbo UniversityNingbo 315832China Key Laboratory of Mariculture(Ocean University of China) Ministry of EducationQingdao 266003China Function Laboratory for Marine Fisheries Science and Food Production Processes Qingdao National Laboratory for Marine Science and TechnologyQingdao 266100China Laboratory of Marine Organism Taxonomy and Phylogeny Institute of OceanologyChinese Academy of SciencesQingdao 266071China

Integrated multi-trophic aquaculture(IMTA)has been considered as an ecofriendly culture system providing a potential solution to environmental risks caused by intensive monoculture ***,the impact of IMTA on phytoplankton remains *** this study,the spatial and temporal variations of phytoplankton in Sanggou Bay were investigated seasonally based on 21 sampling sites covering three cultivation zones(bivalve zone,IMTA zone,and kelp zone)and one control zone(without aquatic cultivation).In total,128 phytoplankton species,with diatoms and dinoflagellates as the dominant groups,were obtained across the whole year,and the mean Shannon diversity index(H')and species richness(SR)were determined as 1.39 and 9.39,*** maximum chlorophyll a(Chl-a)(6.32μg L^(-1))and plankton diversity(H'of 1.97)occurred in summer and autumn,*** to other zones,the bivalve zone displayed significantly higher Chl-a and lower H'in majority of *** PERMANOVA analysis indicated that the phytoplankton assemblage in the bivalve zone was significantly different with the control and kelp zones,while the IMTA zone maintained close to other three *** on generalized additive models,temperature,NO_(2)^(-)-N,N/P ratio,SiO_(3)^(2-)-Si,and salinity were determined as the key factors underlying Chl-a and phytoplankton ***-tionally,the results of redundancy analysis further indicated that the phytoplankton assemblage in the bivalve zone is positively re-lated with nutrients such as NO_(3)^(-)-N and NH_(4)^(+)-N as well as water depth,while the phytoplankton assemblages in the kelp,control,and IMTA zones are associated with NO_(2)^(-)-N,SiO_(3)^(2-)-Si,and *** all observations into consideration together,it can be inferred that IMTA can effectively reduce Chl-a level compared to bivalve monoculture by reducing the ***,the SR,H’,and species composition of phytoplankton are primarily determined by local environment fa

关键词： phytoplankton diversity Sanggou Bay integrated multi-trophic aquaculture

Machine learning in energy storage materials

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Interdisciplinary Materials 2022年第2期1卷 175-195页

作者： Zhong-Hui Shen han-xing liu Yang Shen Jia-Mian Hu Long-Qing Chen Ce-Wen Nan State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Center of Smart Materials and DevicesWuhan University of TechnologyWuhanChina International School of Materials Science and Engineering Wuhan University of TechnologyWuhanChina State Key Lab of New Ceramics and Fine Processing School of Materials Science and EngineeringTsinghua UniversityBeijingChina Department of Materials Science and Engineering University of Wisconsin-MadisonMadisonWisconsinUSA Department of Materials Science and Engineering The Pennsylvania State UniversityUniversity ParkPennsylvaniaUSA

With its extremely strong capability of data analysis,machine learning has shown versatile potential in the revolution of the materials research ***,taking dielectric capacitors and lithium‐ion batteries as two representa-tive examples,we review substantial advances of machine learning in the research and development of energy storage ***,a thorough discussion of the machine learning framework in materials science is ***,we summarize the applications of machine learning from three aspects,including discovering and designing novel materials,enriching theoretical simulations,and assisting experimentation and ***,a brief outlook is highlighted to spark more insights on the innovative implementation of machine learning in materials science.

关键词： dielectric capacitor energy storage lithiumion battery machine learning

Targeting ferroptosis and ferritinophagy:new targets for cardiovascular diseases

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2024年第1期25卷 1-22页

作者： Yi LUAN Yang YANG Ying LUAN Hui liu han xing Jinyan PEI Hengdao liu Bo QIN Kaidi REN Clinical Systems Biology Research Laboratories Translational Medicine Centerthe First Affiliated Hospital of Zhengzhou UniversityZhengzhou450052China State Key Laboratory for Artificial Microstructures and Mesoscopic Physics School of PhysicsPeking UniversityBeijing100871China School of Laboratory Medicine Xinxiang Medical UniversityXinxiang453003China Quality Management Department Henan No.3 Provincial People’s HospitalZhengzhou450052China Department of Cardiology the First Affiliated Hospital of Zhengzhou UniversityZhengzhou450052China Center for Translational Medicine the First Affiliated Hospital of Zhengzhou UniversityZhengzhou450052China Department of Pharmacy the First Affiliated Hospital of Zhengzhou UniversityZhengzhou450052China Henan Key Laboratory of Precision Clinical Pharmacy Zhengzhou UniversityZhengzhou450052China Henan Engineering Research Center for Application&Translation of Precision Clinical Pharmacy Zhengzhou UniversityZhengzhou450052China

Cardiovascular diseases(CVDs)are a leading factor driving mortality ***,an essential trace mineral,is important in numerous biological processes,and its role in CVDs has raised broad discussion for ***-mediated cell death,namely ferroptosis,has attracted much attention due to its critical role in cardiomyocyte damage and ***,ferritinophagy is the upstream mechanism that induces ferroptosis,and is closely related to *** review aims to delineate the processes and mechanisms of ferroptosis and ferritinophagy,and the regulatory pathways and molecular targets involved in ferritinophagy,and to determine their roles in ***,we discuss the possibility of targeting ferritinophagy-induced ferroptosis modulators for treating ***,this review offers some new insights into the pathology of CVDs and identifies possible therapeutic targets.

关键词： Cardiovascular disease Iron Ferroptosis Ferritinophagy Therapeutic target

Carbon dot-based artificial light-harvesting systems with sequential energy transfer and white light emission for photocatalysis

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Chinese Chemical Letters 2024年第4期35卷 409-413页

作者： Chaoqun Ma Yuebo Wang Ning han Rongzhen Zhang Hui liu Xiaofeng Sun Lingbao xing School of Chemistry and Chemical Engineering Shandong University of TechnologyZibo 255000China Department of Materials Engineering KU LeuvenLeuven 3001Belgium

In this work, we designed and synthesized cationic carbon dots(CDs) with a size distribution of 1.6–3.7 nm, which exhibited dark blue fluorescence in the aqueous solution. Based on its excellent luminescence properties, we used it as an energy donor to construct a sequential artificial light-harvesting system(LHS) by employing the energy-matching dyes eosin Y disodium salt(EY) and sulforhodamine101(SR101), which could regulate the white light emission(Commission Internationale de l'Eclairage(CIE) coordinate:(0.30, 0.31)) with the energy transfer efficiency(ΦET) of 53.9% and 20.0%. Moreover, a single-step artificial LHS with white light emission(0.32, 0.28) can be constructed directly using CDs and dye solvent 43(SR) with ΦETand antenna effect(AE) of 48.8% and 6.5, respectively. More importantly,CDs-based artificial LHSs were firstly used in photocatalytic of α-bromoacetophenone, with a yield of90%. This work not only provides a new strategy for constructing CDs-based LHSs, but also opens up a new application for further applying the energy harvested in CDs-based LHSs to the field of the aqueous solution photocatalysis.

关键词： Carbon dots White light emission Energy transfer Antenna effect Artificial light-harvesting system Photocatalysis