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Lithographic printing inspired in-situ transfer of MXene-based films with localized topo-electro tunability for high-performance flexible pressure sensors

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Nano Research 2023年第11期16卷 12670-12679页

作者： Qiuyang Yan Yi Zhou Yin Cheng Liangjing Shi Ranran Wang Lian Gao Jing Sun State Key Laboratory of High Performance Ceramics and Superfine Microstructure Shanghai Institute of CeramicsChinese Academy of ScienceShanghai 200050China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China Department of Electrical and Computer Engineering National University of SingaporeSingapore 117583Singapore School of Chemistry and Materials Science Hangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesHangzhou 310024China School of Materials Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China

MXene-based films have been intensively explored for construction of piezoresistive flexible pressure sensors owing to their excellent mechanical and electrical *** pressure sensitivity relies on pre-molding a flexible substrate,or regulating the micromorphology of MXene sheets,to obtain a micro-structured ***,the two avenues usually require complicated and time-consuming microfabrication or wet chemical processing,and are limited to non-adjustable topographicelectrical(topo-electro)***,we propose a lithographic printing inspired in-situ transfer(LIPIT)strategy to fabricate MXene-ink films(MIFs).In LIPIT,MIFs not only inherit ridge-and-valley microstructure from paper substrate,but also achieve localized topo-electro tunability by programming ink-writing patterns and *** MIF-based flexible pressure sensor with periodical topo-electro gradient exhibits remarkably boosted sensitivity in a wide sensing range(low detection limit of 0.29 Pa and working range of 100 kPa).The MIF sensor demonstrates versatile applicability in both subtle and vigorous pressuresensing fields,ranging from pulse wave extraction and machine learning-assisted surface texture recognition to piano-training glove(PT-glove)for piano *** LIPIT is quick,low-cost,and compatible with free ink/substrate combinations,which promises a versatile toolbox for designing functional MXene films with tailored morphological-mechanical-electrical properties for extended application scenarios.

关键词： MXene film transfer printing surface tunability flexible pressure sensor

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Advances in perovskite lasers

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Journal of Semiconductors 2025年第4期46卷 29-36页

作者： Zhicheng Guan Hengyu Zhang Guang Yang Department of Electrical and Electronic Engineering Photonic Research Institute(PRI)Research Institute of Smart Energy(RISE)Research Institute for Advanced Manufacturing(RIAM)The Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina State Key Laboratory of Silicon and Advanced Semiconductor Materials&School of Materials Science and Engineering Zhejiang UniversityHangzhou 310027China

Perovskite materials have emerged as promising candidates for various optoelectronic applications owing to their remarkable optoelectronic properties and easy solution *** halide perovskites,as direct-bandgap semiconductors,show an excellent class of optical gain media,which makes them applicable to the development of low-threshold or even thresholdless *** mini review explores recent advances in perovskite-based laser technology,which have led to chiral single-mode microlasers,low-threshold,external-cavity-free lasing devices at room temperature,and other innovative device *** self-assembled CsPbBr3 microwires that enable edge *** continuous-wave(CW)pumped lasing by perovskite material pushes the research of electrically driven perovskite *** capacity to regulate charge transport in halide perovskites further enhances their applicability in optoelectronic *** ongoing integration of perovskite materials with advanced photonic structures holds excellent potential for future innovations in laser technology and *** also highlight the transformative potential of perovskite materials in advancing the next generation of efficient and integrated optoelectronic devices.

关键词： perovskites lasers optoelectronics

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Accelerating matrix/boundary precipitations to explore high-strength and high-ductile Co_(34)Cr_(32)Ni_(27)Al_(3.5)Ti_(3.5) multicomponent alloys through hot extrusion and annealing

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Journal of materials science & Technology 2023年第12期143卷 62-83页

作者： Xiaoming Liu Zongde Kou Ruitao Qu Weidong Song Yijia Gu Changshan Zhou Qingwei Gao Jiyao Zhang Chongde Cao Kaikai Song Vladislav Zadorozhnyy Zequn Zhang Jürgen Eckert Shenzhen Research Institute of Shandong University Shenzhen 518057China State Key Laboratory of Explosion Science and Technology Beijing Institute of TechnologyBeijing 100081China School of Mechanical Electrical&Information EngineeringShandong UniversityWeihai 264209China School of Material Science and Engineering Nanjing University of Science and TechnologyNanjing 210094China School of Materials Science and Engineering Northwestern Polytechnical UniversityXi’an 710072China Department of Materials Science and Engineering Missouri University of Science and TechnologyRollaMO 65409USA Research and Development Institute of Northwestern Polytechnical University in Shenzhen Shenzhen 518057China National University of Science and Technology«MISIS» Moscow 119049Russia Erich Schmid Institute of Materials Science Austrian Academy of SciencesLeoben A-8700Austria Department of Materials Science Montanuniversität LeobenLeoben A-8700Austria

Annealing-regulated precipitation strengthening combined with cold-working is one of the most efficient strategies for resolving the conflict between strength and ductility in metals and ***,precipitation control and grain refinement are mutually contradictory due to the excellent phase stability of multicomponent *** work utilizes the high-temperature extrusion and annealing to optimize the microstructures and mechanical properties of the Co_(34)Cr_(32)Ni_(27)Al_(3.5)Ti_(3.5) multicomponent *** extrusion effectively reduces grain sizes and simultaneously accelerates the precipitation of coherent L12 nanoparticles inside the face-centered cubic(FCC)matrix and grain boundary precipitations(i.e.,submicron Cr-rich particles and L12-Ni 3(Ti,Al)precipitates),resulting in strongly reciprocal interaction between dislocation slip and hierarchical-scale *** annealing regulates grain sizes,dislocations,twins,and precipitates,further allowing to tailor mechanical *** high yield strength is attributed to the coupled precipitation strengthening effects from nanoscale coherent L12 particles inside grains and submicron grain boundary precipitates under the support of pre-existing *** excellent ductility results from the synergistic activation of dislocations,stacking faults,and twins during plastic *** present study provides a promising approach for regulat-ing microstructures,especially defects,and enhancing the mechanical properties of multicomponent alloys.

关键词： Multicomponent alloys Hot extrusion Microstructure Mechanical properties Precipitation strengthening

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Developing Advanced Mg-Based Solid-State materials for Gas Separation and Purification: A Review

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Interdisciplinary materials 2025年第3期4卷 480-501页

作者： Zhang, Ning Lin, Xi Hu, Zhigang Ding, Wenjiang Zou, Jianxin Shanghai Key Laboratory of Hydrogen Science & Center of Hydrogen Science School of Materials Science and Engineering Shanghai Jiao Tong University Shanghai China Shanghai Jiao Tong University—JA Solar New Energy Materials Joint Research Center Shanghai China Department of Electrical Engineering Cambridge Graphene Center University of Cambridge Cambridge United Kingdom

Magnesium (Mg) is globally abundant in resources, and Mg-based compounds—such as magnesium based hydrides, hydroxides, oxides, and magnesium metal-organic frameworks (Mg MOFs)—have shown significant application prospects in gas separation. This is largely due to the electronic characteristics of Mg or Mg2⁺ ions, which facilitate the capture of hydrogen (H2) and acidic gases such as carbon dioxide (CO2) and sulfur dioxide (SO2) from other gases. Consequently, exploring the use of Mg-based materials in gas separation and purification applications could not only advance the scientific understanding of solid-gas interaction mechanisms but also provide cost-effective solutions for gas separation technology at an industrial level. This review summarizes the recent practices and explorations of Mg-based solid-state materials in various gas separation and purification methods, including physical adsorption-based separation, chemical absorption-based separation, and membrane-based separation. For each separation method, the relevant Mg-based materials are discussed in detail, and key findings from existing research are presented and analyzed. Additionally, inspired by the straightforward design of air-stable hydrogen storage materials, this review specifically addresses anti-passivation strategies for Mg-based hydrides, which are crucial for their applications in hydrogen gas separation and purification. Finally, this review highlights key issues and fields for future research and development in Mg-based gas separation materials. © 2025 The Author(s). Interdisciplinary materials published by Wuhan University of Technology and John Wiley & Sons Australia, Ltd.

关键词： Air cleaners

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Active learning graph neural networks for partial charge prediction of metal-organic frameworks via dropout Monte Carlo

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npj Computational materials 2024年第1期10卷 2360-2369页

作者： Stephan Thaler Felix Mayr Siby Thomas Alessio Gagliardi Julija Zavadlav Professorship of Multiscale Modeling of Fluid Materials Department of Engineering Physics and ComputationTUM School of Engineering and DesignTechnical University of MunichMunichGermany Valence Labs MontrealQCCanada Professorship of Simulation of Nanosystems for Energy Conversion Department of Electrical EngineeringTUM School of ComputationInformation and TechnologyTechnical University of MunichMunichGermany Munich Data Science Institute Technical University of MunichMunichGermany

Metal-organic frameworks(MOF)are an attractive class of porous materials due to their immense design space,allowing for application-tailored *** of interest,such as gas sorption,can be predicted in silico with molecular mechanics ***,the accuracy is limited by the available empirical force field and partial charge estimation *** this work,we train a graph neural network for partial charge prediction via active learning based on Dropout Monte *** show that active learning significantly reduces the required amount of labeled MOFs to reach a target *** obtained model generalizes well to different distributions of MOFs and *** addition,the uncertainty predictions of Dropout Monte Carlo enable reliable estimation of the mean absolute error for unseen *** work paves the way towards accurate molecular modeling of MOFs via next-generation potentials with machine learning predicted partial charges,supporting insilico material design.

关键词： properties charge estimation

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Red and Green Perovskite Quantum Dot Paper for Full-color Micro-display

Red and Green Perovskite Quantum Dot Paper for Full-color Mi...

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SID International Symposium Digest of Technical Papers, 2023

作者： Sheng, Yujia He, Jr-Hau Liu, Zhaojun Department of Materials Science and Engineering City University of Hong Kong Hong Kong Department of Electrical and Electronic Engineering Southern University of Science and Technology China

The commercialization of μ-LED displays is impeded by the persistent obstacle of full-color representation, particularly when the pixel pitch is scaled down to below 20 μm. The utilization of quantum dots (QDs) as color converters has proven effective in mitigating this limitation. To this end, this study proposes the use of perovskite quantum dots papers (PQDPs) as color converters for μ-LEDs, intending to achieve full-color display functionality. © 2023, John Wiley and Sons Inc. All rights reserved.

关键词： Perovskite

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Vertical InGaN Light-Emitting Diode with Hybrid Distributed Bragg Reflectors

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ACS Omega 2024年第28期9卷 30183-30189页

作者： Shiu, Guo-Yi Ke, Ying Chen, Kuei-Ting Wang, Cheng-Jie Kao, Yu-Cheng Chen, Hsiang Han, Jung Lin, Chia-Feng Department of Materials Science and Engineering National Chung Hsing University Taichung 402202 Taiwan Department of Applied Materials and Optoelectronic Engineering National Chi Nan University Puli 545301 Taiwan Department of Electrical Engineering Yale University 15 Prospect St New Haven 06511 CT United States

A vertical-type InGaN light-emitting diode with a resonant cavity was demonstrated with a 9 μm aperture size and a short cavity formed by hybrid distributed Bragg reflectors (DBRs). The approach involved designing epitaxial structures and utilizing an electrochemical etching process to convert heavily doped n-type gallium nitride (n⁺-GaN) layers into porous GaN layers as a porous-GaN DBR structure. Thirteen pairs of the conductive porous-GaN:Si/GaN:Si DBR structure provided a vertical current path in a vertical-type light-emitting diodes (LED) structure. The LED epitaxial layers were separated from sapphire for membrane-type LED structures through a laser lift-off process. During the free-standing membrane fabrication process, the dielectric DBR deposited on ITO/p-GaN:Mg layers was inverted from top to bottom, thereby establishing the concept of higher reflectivity for the bottom DBR compared to the porous-GaN DBR. The physical cavity length was reduced from about 2.3 μm for the LED membrane to 0.74 μm for the membrane-type LED with the embedded porous-GaN DBR structure. The divergent angles and line width of EL emission light were reduced from 124°/31.7 nm to 44°/3.3 nm due to the resonant cavity effect. The membrane-type LED structures with hybrid DBRs consisted of small divergent angles, narrow line width, and vertical current injection properties that have potential for directional emission light sources and vertical-cavity surface-emitting diode laser applications. © 2024 The Authors. Published by American Chemical Society.

关键词： Cavities Chemical structure Deposition Layers Porosity

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Classification with ensembles and case study on functional magnetic resonance imaging

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Digital Communications and Networks 2022年第1期8卷 80-86页

作者： Adnan OM.Abuassba Zhang Dezheng Hazrat Ali Fan Zhang Khan Ali Department of Computer Science Arab Open University-PalestineRamallahPalestine Department of Computer Science and Communication Engineering University of Science and Technology BeijingChina and Beijing Key Laboratory of Knowledge Engineering for Materials ScienceBeijing100083China Department of Electrical and Computer Engineering COMSATS University IslamabadAbbottabad CampusAbbottabadPakistan

The ensemble is a technique that strategically combines basic models to achieve better accuracy ***,combination methods,and selection topology are the main factors determining ensemble ***,it is a challenging task to design an efficient ensemble *** though numerous paradigms have been proposed to classify ensemble schemes,there is still much room for *** paper proposes a general framework for creating ensembles in the context of ***,the ensemble framework consists of four stages:objectives,data preparing,model training,and model *** is comprehensive to design diverse *** proposed ensemble approach can be used for a wide variety of machine learning *** validate our approach on real-world *** experimental results show the efficiency of the proposed approach.

关键词： Classification Ensemble learning Extreme learning machine

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Advancing Al-doped ZnO thin films structural,optical and electrical properties of low temperature PET substrates via flash lamp annealing

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Journal of Semiconductors 2024年第12期45卷 47-60页

作者： Juwon Lee Chang-Hyeon Jo Gwangseop Lee Min-Sung Bae Slawomir Prucnal Shengqiang Zhou Muhammad Zubair Khan Osama Gohar Mohsin Saleem Jung-Hyuk Koh Graduate School of Intelligent Energy and Industry Chung-Ang UniversityHeukseok-roSeoulRepublic of Korea School of Electrical and Electronic Engineering Chung-Ang UniversitySeoulRepublic of Korea Helmholtz-Zentrum Dresden-Rossendorf Institute of Ion Beam Physics and Materials ResearchBautzner Landstraße 40001328DresdenGermany Department of Materials Science and Engineering Pak-Austria Fachhochschule:Institute of Applied Sciences and TechnologyMangHaripur22621Khyber PakhtunkhwaPakistan Department of Mechanical and Electrical Systems Engineering Graduate School of EngineeringKyoto University of Advanced ScienceGotanda-choYamanouchiUkyo-kuKyoto 615-8577Japan School of Chemical and Materials Engineering(SCME) National University of Sciences&Technology(NUST)H-12Islamabad 44000Pakistan

In this study, aluminum-doped zinc oxide(AZO) thin films were deposited onto a low-temperature polyethylene terephthalate(PET) substrate using DC magnetron sputtering. Deposition parameters included power range of 100-300 W, a working pressure of 15 mTorr, and a substrate temperature of 50 ℃. Post-deposition, flash lamp annealing(FLA) was employed as a rapid thermal processing method with a pulse duration of 1.7 ms and energy density of 7 J·cm-2, aimed at enhancing the film's quality while preserving the temperature-sensitive PET substrate. FLA offers advantages over conventional annealing,including shorter processing times and improved material properties. The structural, optical, and electrical characteristics of the AZO films were assessed using X-ray diffraction, field emission scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy, ultraviolet-visible spectroscopy, and Hall effect measurements. The results demonstrated that properties of AZO films varied with deposition and annealing conditions. Films deposited at 200 W and subjected to FLA exhibited superior crystallinity, with average visible light transmittance exceeding 80% and resistivity as low as 0.38 Ω·cm representing 95%improvement in transmittance. electrical analysis revealed that carrier concentration, mobility, and resistivity were influenced by both sputtering and annealing parameters. These findings underscore the effectiveness of FLA in optimizing AZO thin film properties, highlighting potential in optoelectronics applications.

关键词： flash lamp annealing AZO thin film PET sputtering

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Comprehensive analysis of two-dimensional charge transport mechanism in thin-film transistors based on random networks of single-wall carbon nanotubes using transient measurements

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Nano Research 2022年第2期15卷 1524-1531页

作者： Hyeonwoo Shin Sang-Joon Park Byeong-Cheol Kang Tae-Jun Ha Department of Electrical Engineering and Computer Science Inter-university Semiconductor Research CenterSeoul National UniversitySeoul 08826Korea Department of Electronic Materials Engineering Kwangwoon UniversitySeoul 01897Korea

Understanding charge transport mechanisms in thin-film transistors based on random networks of single-wall carbon nanotubes(SWCNT-TFTs)is essential for further advances to improve the potential for various nanoelectronic ***,a comprehensive investigation of the two-dimensional(2D)charge transport mechanism in SWCNT-TFTs is reported by analyzing the temperature-dependent electrical characteristics determined from the direct-current and non-quasi-static transient measurements at 80-300 *** elucidate the time-domain charge transport characteristics of the random networks in the SWCNTs,an empirical equation was derived from a theoretical trapping model,and a carrier velocity distribution was determined from the differentiation of the transient ***,charge trapping and de-trapping in shallow-and deep-traps in SWCNT-TFTs were analyzed by investigating charge transport based on their trapping/de-trapping *** comprehensive analysis of this study provides fundamental insights into the 2D charge transport mechanism in TFTs based on random networks of nanomaterial channels.

关键词： single-wall carbon nanotube random networks two-dimensional(2D)charge transport time-domain transient measurements charge trapping/de-trapping shallow-/deep-traps

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