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Playdough-like carbon electrode: A promising strategy for high efficiency perovskite solar cells and modules

eScience 2024年第2期4卷 101-107页

作者： Aodong Zhu Lin Chen Ao Zhang Chenpu Zhu Xinxin Zhang Jie Zhong Fuzhi Huang Yi-Bing Cheng Junyan Xiao School of Materials Science and Engineering Wuhan University of Technology122 Luoshi RoadWuhanHubeiChina State Key Laboratory of Advanced Technologies for Materials Synthesis and Processing Wuhan University of Technology122 Luoshi RoadWuhanHubeiChina School of Chemistry and Chemical Engineering Huazhong University of Science and Technology1037 Luoyu RoadWuhanHubeiChina Research Centre for Advanced Thin Film Photovoltaics Wuhan University of Technology122 Luoshi RoadWuhanHubeiChina Jinan Municipal Bureau of Industry and Information Technology JinanShandongChina

Carbon-based perovskite solar cells(C-PSCs)are promising candidates for large-scale photovoltaic applications due to their theoretical low cost and high ***,the fabrication of high-performance C-PSCs with large-area electrodes remains *** this work,we propose a novel playdough-like graphite putty as top electrode in the perovskite *** electrode with soft nature can form good contact with the holetransporting layer and the conductive substrate at room temperature by a simple pressing technique,which facilitates the fabrication of both small-area devices and perovskite solar *** this preliminary research,the corresponding small devices and modules can achieve efficiencies of 20.29%(~0.15 cm^(2))and 16.01%(~10 cm^(2)),***,we analyze the limitations of the optical and electrical properties of this playdough-like graphite electrode on the device performance,suggesting a direction for further improvement of C-PSCs in the future.

关键词： Perovskite solar cells Large-area module Carbon electrode Conductive playdough

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Quasi-Phase Equilibrium Prediction of Multi-Element Alloys Based on Machine Learning and Deep Learning

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Computers, materials & Continua 2023年第7期76卷 49-64页

作者： Changsheng Zhu Borui Zhao Naranjo Villota Jose Luis Zihao Gao Li Feng College of Computer and Communication Lanzhou University of TechnologyLanzhou730050China State Key Laboratory of Gansu Advanced Processing and Recycling of Non-Ferrous Metal Lanzhou University of TechnologyLanzhou730050China College of Materials Science and Engineering Lanzhou University of TechnologyLanzhou730050China

In this study,a phase field model is established to simulate the microstructure formation during the solidification of dendrites by taking the Al-Cu-Mg ternary alloy as an example,and machine learning and deep learning methods are combined with the Kim-Kim-Suzuki(KKS)phase field model to predict the quasi-phase *** paper first uses the least squares method to obtain the required data and then applies eight machine learning methods and five deep learning methods to train the quasi-phase equilibrium prediction *** obtaining different models,this paper compares the reliability of the established models by using the test data and uses two evaluation criteria to analyze the performance of these *** work find that the performance of the established deep learning models is generally better than that of the machine learning models,and the Multilayer Perceptron(MLP)based quasi-phase equilibrium prediction model achieves the best *** the Convolutional Neural Network(CNN)based model also achieves competitive *** experimental results show that the model proposed in this paper can predict the quasi-phase equilibrium of the KKS phase-field model accurately,which proves that it is feasible to combine machine learning and deep learning methods with phase-field model simulation.

关键词： Deep learning machine learning quasi-phase equilibrium material simulation

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One-step constructing advanced N-doped carbon@metal nitride as ultra-stable electrocatalysts via urea plasma under room temperature

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Chinese Chemical Letters 2024年第11期35卷 486-491页

作者： Tao Tang Chen Li Sipu Li Zhong Qiu Tianqi Yang Beirong Ye Shaojun Shi Chunyang Wu Feng Cao Xinhui Xia Minghua Chen Xinqi Liang Xinping He Xin Liu Yongqi Zhang Institute of Fundamental and Frontier Science University of Electronic Science and Technology of ChinaChengdu 611731China Department of Materials Science and Engineering Zhejiang UniversityHangzhou 310027China College of Materials Science&Engineering Zhejiang University of TechnologyHangzhou 310014China School of Chemistry and Materials Engineering Changshu Institute of TechnologyChangshu 215500China State Key Laboratory of Electronic Thin Film and Integrated Devices University of Electronic Science and Technology of ChinaChengdu 611731China Department of Engineering Technology Huzhou CollegeHuzhou 313000China Key Laboratory of Engineering Dielectric and Applications(Ministry of Education) School of Electrical and Electronic EngineeringHarbin University of Science and TechnologyHarbin 150080China State Key Laboratory of Photocatalysis on Energy and Environment Fuzhou UniversityFuzhou 350116China State Key Laboratory of New Textile Materials and Advanced Processing Technologies Wuhan Textile UniversityWuhan 430200China

Highly active transition metal nitrides are desirable for electrocatalytic reactions,but their long-term stability is still unsatisfactory and thus limiting commercial ***,for the first time,we report a unique and universal room-temperature urea plasma method for controllable synthesis of N-doped carbon coated metal(Fe,Co,Ni,etc.)nitrides arrays *** preformed metal oxides arrays can be successfully converted into metal nitrides arrays with preserved nanostructures and a thin layer of N-doped carbon(N-C)via one-step urea ***,as a representative case,N-C@CoN nanowire arrays are illustrated and corresponding formation mechanism by plasma is ***,the designed N-C@Co N catalysts deliver excellent electrocatalytic activity and long-term stability both in oxygen evolution reaction(OER)and urea oxidation reaction(UOR).For OER,a low overpotential(264 mV at 10 mA/cm^(2))and high stability(>50 h at 20 mA/cm^(2))are *** UOR,a current density of100 m A/cm^(2) is achieved at only 1.39 V and maintain over 100 *** calculations reveal that the synergetic coupling effect of CoN and N-C can significantly facilitate the charge-transfer process,optimize adsorbed intermediates binding strength and further greatly decrease the energy *** strategy provides a novel method for fabrication of N-C@metal nitrides as highly active and stable catalysts.

关键词： Urea plasma Metal nitrides Carbon shell Oxygen evolution reaction Urea oxidation reaction

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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

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Advances in cathode materials for Li-O2 batteries

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能源化学 2024年第8期95卷 126-167页

作者： Pengcheng Xing Patrick Sanglier Xikun Zhang Jing Li Yu Li Bao-Lian Su Laboratory of Inorganic Materials Chemistry(CMI) University of Namur61 rue de BruxellesB-5000 NamurBelgium Namur Institute of Structured Matter(NISM) University of Namur61 rue de BruxellesB-5000 NamurBelgium State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan 430074HubeiChina Laboratory of Inorganic Materials Chemistry(CMI) University of Namur61 rue de BruxellesB-5000 NamurBelgium Namur Institute of Structured Matter(NISM) University of Namur61 rue de BruxellesB-5000 NamurBelgium State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan 430074HubeiChina

Lithium-oxygen(Li-O2)batteries have attracted significant attention due to their ultra-high theoretical energy ***,serious challenges,such as potential lag,low-rate capability,round-trip effi-ciency,and poor cycle stability,greatly limit their practical *** review provides a comprehen-sive account of the development of Li-O2 batteries,elucidates the current discharge/charge mechanism,and highlights both the advantages and bottlenecks of this *** particular,recent research pro-gress on various cathode materials,such as carbon-based materials,noble metals,and non-noble metals,for Li-O2 batteries is deeply reviewed,emphasizing the impact of design strategies,material structures,chemical compositions,and microphysical parameters on oxygen reduction reaction(ORR)and oxygen evolution reaction(OER)kinetics,as well as discharge products and overall battery *** review will also shed light on future research directions for oxygen electrode catalysts and material con-struction to facilitate the development of Li-O2 batteries with maximized electrochemical performance.

关键词： Li-O2 batteries Mechanism Cathode OER ORR

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Ballistic performance of spaced multi-ply soft fabrics: Experimental and numerical investigation

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Defence technology（防务技术） 2024年第4期34卷 143-155页

作者： Zhongwei Zhang Xiaoning Yang Yuan Lin Ziming Xiong Yuhang Xiang Yi Zhou Mingyang Wang State Key Laboratory of Explosion&Impact and Disaster Prevention&Mitigation Army Engineering University of PLANanjing 210007China School of Mechanical Engineering Nanjing University of Science&TechnologyNanjing 210007China State Key Laboratory of New Textile Materials and Advanced Processing Technologies Wuhan Textile UniversityWuhan 430200China Postdoctoral Station of Civil Engineering Army Engineering University of PLANanjing 210007China

It has been reported that the ply gap influences the ballistic resistance of spaced multi-ply fabric systems,but its working mechanism was not well-understood. This paper reports the experimental and numerical approaches and results of an investigation on the mechanisms that enable the improved ballistic performance of spaced multi-ply systems. Penetration tests were performed over a range of impact velocities ranging from 200 m/s to 400 m/s. The results confirmed that the ply gap is beneficial to the energy absorption capability of the systems. This is because the front plies tend to absorb more energy when they are not immediately constrained by the rear plies. During a ballistic event, the gap relieves the reflection of the compressive pulse, prolonging the projectile engagement time with the front plies;on the other hand, the rear plies become increasingly less active in dissipating energy as the gap *** the gap is sufficiently widened to avoid any interference between the plies before the failure of the front ply, the responses of the whole system no longer vary. It was also found that the ballistic performance of the spaced systems is influenced by ply thickness, impact velocity, and the stacking order of the ply gap.

关键词： Energy absorption capability Ply gap Ballistic performance The front ply The rear ply

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Deformation and phase transformation behaviors of a high Nb-containing TiAl alloy compressed at intermediate temperatures

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Journal of materials Science & technology 2022年第7期102卷 89-96页

作者： Xu Liu Lin Song Andreas Stark Uwe Lorenz Zhanbing He Junpin Lin Florian Pyczak Tiebang Zhang State Key Laboratory of Solidification Processing Northwestern Polytechnical UniversityXi’an 710072China Institute of Materials Research Helmholtz-Zentrum GeesthachtMax Planck-Str.1Geesthacht 21502Germany State Key Laboratory for Advanced Metals and Materials University of Science and Technology BeijingBeijing 100083China

In modernβ-solidified TiAl alloys,the decomposition of α_(2) phase is frequently observed during heat treatment or high-temperature deformation of the *** this study,high-temperature deformation and decomposition mechanisms of α_(2) phase in a Ti-45Al-8.5Nb-0.2B-0.2W-0.02Y alloy are *** a sample deformed at 800℃,the precipitation ofβ_(o)(ω_(o))phase is observed within the equiaxed α_(2) *** nucleation ofω_(o) particles within theβ_(o) matrix indicates the α_(2)→β_(o)→ω_(o) *** addition,numerous y phase precipitates form within theβ_(o)(ω)*** α_(2) lamellae decompose into ultrafine( α_(2)+γ)lamellae and coarsened y lamellae via α_(2)→ α_(2)+γand α_(2)→γtransformation,***,theω_(o) phase nucleates within the ultrafine lamellae via α_(2)→ω_(o) ***,in a sample deformed at 1000℃,the nucleation ofβ_(o) particles is sluggish,which is caused by the efficient release of the internal stress via dynamic recrystallization(DRX).These results indicate that complex phase transformations can be introduced by the decomposition of α_(2) phase in TiAl alloys with a high amount ofβ-stabilizing elements.

关键词： TiAl alloys Phase transformation Microstructure Electron microscopy

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Building a Highly Stable Ultrathin Nanoporous Layer Assisted by Glucose for Desalination

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Engineering 2022年第9期16卷 247-255页

作者： Yanqiu Zhang Fan Yang Hongguang Sun Yongping Bai Songwei Li Lu Shao MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage&State Key Laboratory of Urban Water Resource and Environment School of Chemistry and Chemical EngineeringHarbin Institute of TechnologyHarbin 150001China MOE Key Laboratory of Materials Processing and Molding&National Engineering Research Center for Advanced Polymer Processing Technology Zhengzhou UniversityZhengzhou 450002China

Although nanoporous membranes are of great interest in desalination,it is still challenging to construct highly permeable nanoporous membranes with excellent rejections for an efficient desalination *** this work,highly permeable nanoporous membranes were built from renewable resources,assisted by the versatile functions of glucose and dopamine,with coupling reactive groups via interfacial reaction with 1,3,5-benzenetricarbonyl trichloride(TMC).The small molecules(0.66 nm)of glucose,which have high hydrophilicity,can diffuse into the membrane for an effective reaction to ensure structural *** novel ultrathin(~44 nm)nanofiltration(NF)membrane exhibits ultra-high Na_(2)SO_(4)flux and excellent rejection of Na_(2)SO_(4)(66.5 L·m^(-2)·h^(-1),97.3%)and MgSO4(63.0 L·m^(-2)·h^(-1),92.1%)under a pressure of 5 bar(1 bar=10^(5)Pa)which is much superior to the performance of natural-product NF *** membrane demonstrates excellent long-term stability,as well as tremendous acid-base and alkali-base stability and high anti-pollution *** designed membrane materials and architecture open a new door to biopolymer-based separation membranes beyond existing membrane materials.

关键词： Nanoporous membrane Renewable resources Nanofiltration Desalination Glucose

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Recent progress in C-N coupling for electrochemical CO_(2) reduction with inorganic nitrogenous species in aqueous solution

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materials Reports(Energy) 2023年第1期3卷 65-77,I0003页

作者： Shuxia Liu Tanyuan Wang Lior Elbaz Qing Li State Key Laboratory of Material Processing and Die&Mould Technology School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhanHubei430074China Department of Chemistry and the Institute of Nanotechnology and Advanced Materials Bar-Ilan UniversityRamat-Gan5290002Israel

The electrocatalytic CO_(2) reduction in aqueous solution mainly involves bond cleavage and formation between C,H and O,and it is highly desirable to expand the bond formation reaction of C with other atoms to obtain novel and valuable *** electrochemical synthesis of N-containing organic chemicals in electrocatalytic CO_(2) reduction via introducing N sources is an effective strategy to expand the product scope,since chemicals con-taining C–N bonds(*** and amines)are important reactants/products for medicine,agriculture and *** article focuses on the research progress of C–N coupling from CO_(2) and inorganic nitrogenous species in aqueous ***,the reaction pathways related to the reaction intermediates for urea,formamide,acetamide,methylamine and ethylamine are ***,the electrocatalytic performance of different catalysts for these several N-containing products are summarized and ***,the challenges and op-portunities are analyzed,aiming to provide general insights into future research directions for electrocatalytic C–N coupling.

关键词： CO_(2) reduction C-N coupling Heterogeneous electrocatalysis Amide Amine

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Defect size evaluation in eddy current testing through wavelet transform and pseudo-color enhancement

Defect size evaluation in eddy current testing through wavel...

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2024 International Workshop on Automation, Control, and Communication Engineering, IWACCE 2024

作者： Dong, Shihao Ou, Zhengyu Xu, Cheng Cen, Jisong Han, Zandong State Key Laboratory of Clean and Efficient Turbomachinery Power Equipment Department of Mechanical Engineering Tsinghua University Beijing100084 China Key Laboratory for Advanced Materials Processing Technology Ministry of Education Beijing100084 China

ISBN: (数字)9781510685420

ISBN: (纸本)9781510685413

Eddy current testing (ECT) is a method used to detect defects in conductive materials. The estimation of defect sizes from detected signals plays a crucial role in evaluating product quality and guiding production processes. However, the determination of defect sizes during testing is susceptible to variations in lift-off distances, electrical noise, and often relies on human expertise. This paper evaluates defect sizes using a convolutional neural network regression model based on the impedance signals of defects. First, a through-type eddy current testing system is constructed, resembling those used in industrial production, to obtain high-quality eddy current testing data. Secondly, data are partitioned to locate defect signals, which are then converted into time-frequency matrices using continuous wavelet transform. A pseudo-colour enhancement algorithm is utilized to transform matrices into RGB images and preserve discernibility of defect information. Finally, regression models are constructed to estimate defect sizes. Experimental results demonstrate that this method can accurately evaluate defect sizes with a resolution of 0.05mm, achieving an accuracy of 96.02% with an error margin of ±0.01 mm. For defect sizes ranging from 0.3 mm to 1.0 mm, the mean absolute error in defect estimation is 3.0201×10-3 mm. © 2024 SPIE. All rights reserved.

关键词： Eddy current testing

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