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Self-defined dual charge percolation networks for solution-processed multithreshold transistors Check for updates

npj Flexible Electronics 2024年第1期8卷 1-10页

作者： Jung Woo Moon Seunghan Kim Jin Hyeon Kim Sunil V.Barma Sang Young Jeong Jinho Keum Ho Sun Lim Youngjae Yoo Han Young Woo Sae Byeok Jo Moon Sung Kang Jeong Ho Cho Department of Chemical and Biomolecular Engineering Yonsei UniversitySeoul03722Republic of Korea Department of Chemical and Biomolecular Engineering Institute of Emergent MaterialsSogang UniversitySeoul04107Republic of Korea School of Chemical Engineering SKKU Institute of Energy Science and Technology(SIEST)Sungkyunkwan University(SKKU)Suwon16419Republic of Korea Department of Chemistry Korea UniversitySeoul02841Republic of Korea Department of Chemical and Biological Engineering Institute of Advanced Materials and SystemSookmyung Women’s UniversitySeoul04310Republic of Korea Department of Advanced Materials Engineering Chung-Ang UniversityAnseong-si17546Republic of Korea

This study demonstrates multithreshold engineering of a solution-processed heterojunction electrochemical transistor using a blend of n-type CdSe tetrapod-shaped nanocrystals(TpNCs)and an n-type polymeric organic semiconductor(OSC).The unique geometry of TpNCs enables a broad concentration range of charge percolation,where charge transfer between TpNC and OSC domains determines multiple threshold *** OSC domain’s threshold voltage shifts from 1 to−1 V as TpNC content increases,while the TpNC domain maintains a threshold above 1.5 *** allows for stable intermediate states,crucial for multivalued logic *** percolation and photoluminescence studies show selective charge redistribution,shifting the threshold voltages in the polymer *** logic gates,including TNOT,TNAND,and TNOR,based on these heterojunction transistors,were also demonstrated,highlighting the potential of this approach for advanced logic applications.

关键词： heterojunction transistors charge

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Highly efficient vanadium redox flow batteries enabled by a trilayer polybenzimidazole membrane assembly

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Carbon Energy 2024年第7期6卷 191-204页

作者： Trung Tuyen Bui Mingyu Shin Mohammad Rahimi Anders Bentien Yongchai Kwon Dirk Henkensmeier Hydrogen·Fuel Cell Research Center Korea Institute of Science and Technology(KIST)SeoulRepublic of Korea Department of Chemical and Biomolecular Engineering Seoul National University of Science and TechnologySeoulRepublic of Korea Department of Biological and Chemical Engineering Aarhus UniversityAarhusDenmark KIST School Division of Energy and Environment TechnologyUniversity of Science and TechnologySeoulRepublic of Korea Graduate School of Energy and Environment Korea UniversitySeoulRepublic of Korea

A novel polybenzimidazole(PBI)-based trilayer membrane assembly is developed for application in vanadium redox flow battery(VRFB).The membrane comprises a 1μm thin cross-linked poly[2,2′-(p-oxydiphenylene)−5,5′-bibenzimidazole](OPBI)sandwiched between two 20μm thick porous OPBI membranes(p-OPBI)without further lamination *** trilayer membrane demonstrates exceptional properties,such as high conductivity and low area-specific resistance(ASR)of 51 mS cm^(−1) and 81mΩ cm^(2),*** with vanadium electrolyte increases the ASR of trilayer membrane only to 158mΩ cm^(2),while that of Nafion is 193mΩ cm^(2).VO^(2+) permeability is 2.73×10^(-9) cm^(2) min^(−1),about 150 times lower than that of Nafion *** addition,the membrane has high mechanical strength and high chemical stability against VO^(2+).In VRFB,the combination of low resistance and low vanadium permeability results in excellent performance,revealing high Coulombic efficiency(>99%),high energy efficiency(EE;90.8% at current density of 80mA cm^(−2)),and long-term *** EE is one of the best reported to date.

关键词： polybenzimidazole porous membrane proton conductivity trilayer VRFBs

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Tuning the thermal response of 3D-printed bilayer hydrogels via architectural control using binary ethanol-water solvent systems

RSC Applied Polymers

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RSC Applied Polymers 2024年第6期2卷 1062-1073页

作者： Klincewicz, Francis Kalidindi, Subhash Korley, LaShanda T. J. Department of Materials Science and Engineering University of Delaware Newark 19716 DE United States Department of Chemical and Biomolecular Engineering University of Delaware Newark 19716 DE United States

While stimuli-responsive materials can be prepared via many established procedures, digital light processing (DLP) 3D printing offers a simple and robust technique for the fabrication of hydrogels, including spatially-defined bilayer hydrogels. The use of synthesis solvent mixtures has recently gained attention as a facile alternative to more complicated chemical modifications to tune hydrogel morphology by exploiting solvent-monomer interactions and cononsolvency which, by extension, modulates stimuli-response time and magnitude. In this work, we utilized a binary solvent system consisting of ethanol and water to induce morphological changes within a thermally-responsive poly(N-isopropyl acrylamide) (pNIPAAm) hydrogel during polymerization. By varying the ratio of ethanol to water, we demonstrated that hydrogel properties, such as crosslink density, pore morphology, and thermal response, can be tuned and correlated. While mass expulsion was fastest in gels prepared in 100% ethanol, we found that gels prepared in 75%-25% ethanol-water and 50%-50% ethanol-water maintained mechanical integrity at high temperatures, allowing expulsion of water mass without large amounts of contraction. We utilized the experimental findings from the monolayer hydrogel studies and investigated the response of bilayer structures comprised of pNIPAAm hydrogel layer and a non-responsive poly(2-hydroxyethyl acrylate) (pHEA) hydrogel layer and applied a mathematical model to better understand the fundamental kinematics of these bilayer systems in response to temperature. We also demonstrated the utility of these bilayer hydrogels for use in soft robotics applications. Overall, this work highlights that modulation of binary solvent mixture ratios is a strategy that enables control of morphological and mechanical features of stimuli-responsive hydrogels via 3D printing. © 2024 RSC.

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Postmortem ^(7)Li NMR analysis for assessing the reversibility of lithium metal electrodes in lithium metal batteries

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Journal of Energy Chemistry 2024年第7期94卷 430-440页

作者： Jaewon Baek Sunha Kim Hee-Tak Kim Oc Hee Han Department of Chemical&Biomolecular Engineering KAISTDaejeon 34141Republic of Korea Metropolitan Seoul Center Korea Basic Science InstituteSeoul 03759Republic of Korea Graduate School of Analytical Science&Technology Chungnam National UniversityDaejeon 34134Republic of Korea

Despite the proficiency of lithium(Li)-7 NMR spectroscopy in delineating the physical and chemical states of Li metal electrodes,challenges in specimen preparation and interpretation impede its *** this study,we conducted a comprehensive postmortem analysis utilizing ^(7)Li NMR,employing a stan-dard magic angle spinning probe to examine protective-layer coated Li metal electrodes and LiAg alloy electrodes against bare Li metal electrodes within Li metal batteries(LMBs).Our investigation explores the effects of sample burrs,alignment with the magnetic field,the existence of liquid electrolytes,and precycling on the ^(7)Li NMR *** contrasting NMR spectra before and after cycling,we identi-fied alterations in Li^(0) and Li^(+) signals attributable to the degradation of the Li metal *** NMR analyses decisively demonstrate the efficacy of the protective layer in mitigating dendrite and solid elec-trolyte interphase ***,we noted that Li*ions near the Li metal surface exhibit magnetic susceptibility anisotropy,revealing a novel approach to studying diamagnetic species on Li metal elec-trodes in *** study provides valuable insights and practical guidelines for characterizing distinct lithium states within LMBs.

关键词： NMR spectroscopy Lithium-7 Lithium metal battery Electrolyte Electrode-protective layer Solid electrolyte interface Magnetic susceptibility anisotropy Lithium-metal NMR signal Diamagnetic^(7)Li NMR signal

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Mechanically driven assembly of biomimetic 2D-material microtextures with bioinspired multifunctionality

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Nano Research 2024年第2期17卷 663-678页

作者： Yang Li Lin Jing Joshua M.Little Haochen Yang Tsai-Chun Chung Po-Yen Chen Department of Chemical and Biomolecular Engineering University of MarylandCollege ParkMD 20740USA Maryland Robotics Center University of MarylandCollege ParkMD 20742USA School of Materials Science and Engineering Nanyang Technological University50 Nanyang AvenueSingapore 639798Singapore

Nature provides a wealth of bio-inspiration for advanced material *** various nanomaterials into biomimetic microtextures with bioinspired functionalities has spurred increasing research interests and facilitated technological advances in various *** recent years,two-dimensional materials(2DMs)have emerged as important building block units in the biomimicry field due to their distinct chemical,physical,electrical,electrochemical,and catalytic *** this review article,various mechanically driven assembly approaches are summarized to fabricate various genealogies of biomimetic 2DM microtextures with bio-inspired ***,sequential deformation strategies are discussed to programmably construct higher dimensional 2DM microtextures,ranging from wrinkles/crumples(one-time deformation)to multiscale hierarchies(multiple deformations).Next,the current progress using higher dimensional 2DM microtextures to imitate different biological structures and/or induce bio-inspired multifunctionality is systematically *** showcases of bio-inspiration and biomimicry using different 2DM nanosheets are highlighted:(1)wrinkle patterns of an earthworm that spur the design of strain sensors with programmable working ranges and sensitivities,(2)wrinkle appearance of a Shar-Pei dog that motivates the fabrication of stretchable energy storage devices,(3)hierarchical scale textures of a desert lizard that inspire cation-induced gelation platforms for 2DM aerogels,and(4)wrinkle skin of an elephant that influences the development of 2DM protective skin for soft ***,challenges and future opportunities of adopting 2DM nanosheets to assemble biomimetic microstructures with synergistic functionalities are discussed.

关键词： two-dimensional(2D)materials mechanically driven assembly biomimetic microtextures functional nanocomposite bio-inspired multifunctionality

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Three-dimensional lightweight melamine foams modified by MXene sheets and CoNi alloys towards multifunctional microwave absorption

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Nano Research 2025年第2期18卷 377-389页

作者： Nannan Wu Zhengying Shen Yitao Ma Zhizheng Wu Chuanxin Hou Sijie Guo Jian Tian Jiurong Liu School of Material Science and Engineering Shandong University of Science and TechnologyQingdao 266590China School of Mathematics and Systems Science Shandong University of Science and TechnologyQingdao 266590China School of Environmental and Material Engineering Yantai UniversityYantai 264005China Department of Chemical&Biomolecular Engineering University of TennesseeKnoxvilleTN 37996USA Key Laboratory for Liquid-Solid Structural Evolution and Processing of Materials Ministry of Education and School of Materials Science and EngineeringShandong UniversityJinan 250061China

Taking the increasing issue of electromagnetic waves(EMW)pollution and the necessity for applications in extreme environments,there is a pressing requirement to create multifunctional microwave absorption materials(MAMs)to meet the current *** this work,we achieved the successful combination of MXene sheets and metal organic framework(MOFs)derived CoNi@C magnetic alloys onto the three dimensional(3D)melamine foam(MF)skeleton using vacuum impregnation and electrostatic self-assembly *** obtained MF@MXene/CoNi@C composite foams achieved outstanding MA performance,with an optimal reflection loss(RL)value of–24.1 dB and a maximum effective absorption bandwidth(EAB)of 6.88 GHz at a thickness of 1.68 mm,effectively covering the whole Ku *** superior MA performance is ascribed to the composite foams’multi-component architecture,distinctive 3D porous structure,and the synergistic impact of multiple loss ***,the MF@MXene/CoNi@C composite foams demonstrate exceptional photothermal conversion,thermal insulation,and infrared stealth capabilities,effectively coping with the demands of applications in extreme *** work serves as a valuable resource and source of inspiration for the development of lightweight broadband,multifunctional efficient MAMs.

关键词： multifunctional microwave absorption MXene thermal insulation infrared stealth

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Strategies for fitting accurate machine-learned inter-atomic potentials for solid electrolytes

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Materials Futures 2023年第1期2卷 145-156页

作者： Juefan Wang Abhishek A Panchal Pieremanuele Canepa Department of Materials Science and Engineering National University of Singapore9 Engineering Drive 1117575Singapore Department of Chemical and Biomolecular Engineering National University of Singapore4 Engineering Drive 4117585Singapore

Ion transport in materials is routinely probed through several experimental techniques,which introduce variability in reported ionic diffusivities and *** computational prediction of ionic diffusivities and conductivities helps in identifying good ionic conductors,and suitable solid electrolytes(SEs),thus establishing firm structure-property ***-learned potentials are an attractive strategy to extend the capabilities of accurate ab initio molecular dynamics(AIMD)to longer simulations for larger systems,enabling the study of ion transport at lower ***,machine-learned potentials being in their infancy,critical assessments of their predicting capabilities are ***,we identified the main factors controlling the quality of a machine-learning potential based on the moment tensor potential formulation,when applied to the properties of ion transport in ionic conductors,such as *** results underline the importance of high-quality and diverse training sets required to fit moment tensor *** highlight the importance of considering intrinsic defects which may occur in *** demonstrate the limitations posed by short-timescale and high-temperature AIMD simulations to predict the room-temperature properties of materials.

关键词： solid electrolytes solid-state batteries lithium-ion batteries ionic conductors machine-learning potentials molecular dynamics density functional theory

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Identification of chemical compositions from“featureless”optical absorption spectra:Machine learning predictions and experimental validations

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Nano Research 2023年第3期16卷 4188-4196页

作者： Tiankai Chen Jiali Li Pengfei Cai Qiaofeng Yao Zekun Ren Yixin Zhu Saif Khan Jianping Xie Xiaonan Wang Department of Chemical and Biomolecular Engineering National University of Singapore4 Engineering Drive 4Singapore 117585Singapore Department of Materials Science and Engineering National University of Singapore9 Engineering Drive 1Singapore 117575Singapore Singapore-MIT Alliance for Research and Technology(SMART) 1 CREATE WaySingapore 138602Singapore Department of Chemical Engineering Tsinghua UniversityBeijing 100084China

Rapid and accurate chemical composition identification is critically important in *** it can be achieved with optical absorption spectrometry by comparing the experimental spectra with the reference data when the chemical compositions are simple,such application is limited in more complicated scenarios especially in nano-scale *** is due to the difficulties in identifying optical absorption peaks(i.e.,from“featureless”spectra)arose from the *** this work,using the ultraviolet-visible(UV-Vis)absorption spectra of metal nanoclusters(NCs)as a demonstration,we develop a machine-learningbased method to unravel the compositions of metal NCs behind the“featureless”*** implementing a one-dimensional convolutional neural network,good matches between prediction results and experimental results and low mean absolute error values are achieved on these optical absorption spectra that human cannot *** work opens a door for the identification of nanomaterials at molecular precision from their optical properties,paving the way to rapid and high-throughput characterizations.

关键词： gold nanoclusters composition identification optical absorption machine learning convolutional neural network

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Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection

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Neural Computing and Applications 2025年第6期37卷 4567-4583页

作者： Sayem, Faizul Rakib Islam, Md. Sakib Bin Naznine, Mansura Nashbat, Mohammad Hasan-Zia, Mazhar Kunju, Ali K Ansaruddin Khandakar, Amith Ashraf, Azad Majid, Molla Ehsanul Kashem, Saad Bin Abul Chowdhury, Muhammad E. H. Department of Electrical and Electronic Engineering University of Dhaka Dhaka Bangladesh Department of Biomedical Engineering Military Institute of Science and Technology Dhaka Bangladesh Department of Computer Science & Engineering Rajshahi University of Engineering & Technology Rajshahi6204 Bangladesh Chemical Engineering Department University of Doha for Science and Technology Doha Qatar Department of Electrical Engineering Qatar University Doha2713 Qatar Computer Applications Department Academic Bridge Program Qatar Foundation Doha Qatar Department of Computing Science AFG College With the University of Aberdeen Doha Qatar

Given the severity of waste pollution as a major environmental concern, intelligent and sustainable waste management is becoming increasingly crucial in both developed and developing countries. The material composition and volume of urban solid waste are key considerations in processing, managing, and utilizing city waste. Deep learning technologies have emerged as viable solutions to address waste management issues by reducing labor costs and automating complex tasks. However, the limited number of trash image categories and the inadequacy of existing datasets have constrained the proper evaluation of machine learning model performance across a large number of waste classes. In this paper, we present robust waste image classification and object detection studies using deep learning models, utilizing 28 distinct recyclable categories of waste images comprising a total of 10,406 images. For the waste classification task, we proposed a novel dual-stream network that outperformed several state-of-the-art models, achieving an overall classification accuracy of 83.11%. Additionally, we introduced the GELAN-E (generalized efficient layer aggregation network) model for waste object detection tasks, obtaining a mean average precision (mAP50) of 63%, surpassing other state-of-the-art detection models. These advancements demonstrate significant progress in the field of intelligent waste management, paving the way for more efficient and effective solutions. © The Author(s) 2024.

关键词： Deep learning for waste management Intelligent waste management Object detection in waste management Sustainable waste processing Urban solid waste Waste image classification

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3D-Printing of Hierarchical Porous Copper-Based Metal-Organic-Framework Structures for Efficient Fixed-Bed Catalysts

Chem and Bio Engineering

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Chem and Bio engineering 2024年第3期1卷 264-273页

作者： Xing, Ruizhe Huang, Renliang Su, Rongxin Kong, Jie Dickey, Michael D. Qi, Wei School of Chemistry and Chemical Engineering Northwestern Polytechnical University Xi’an710072 China Department of Chemical and Biomolecular Engineering North Carolina State University RaleighNC27695 United States School of Marine Science and Technology Tianjin University Tianjin300072 China School of Chemical Engineering and Technology Tianjin University Tianjin300072 China

Metallic structures with hierarchical open pores that span several orders of magnitude are ideal candidates for various catalyst applications. However, porous metal materials prepared using alloy/dealloy methods still struggle to achieve continuous pore distribution across a broad size range. Herein, we report a printable copper (Cu)/iron (Fe) composite ink that produces a hierarchical porous Cu material with pores spanning over 4 orders of magnitude. The manufacturing process involves four steps: 3D-printing, annealing, dealloying, and reannealing. Because of the unique annealing process, the resulting hierarchical pore surface becomes coated with a layer of Cu-Fe alloy. This feature imparts remarkable catalytic ability and versatile functionality within fixed bed reactors for 4-nitrophenol (4-NP) reduction and Friedländer cyclization. Specifically, for 4-NP reduction, the porous Cu catalyst demonstrates an excellent reaction rate constant (kapp = 86.5 × 10-3 s-1) and a wide adaptability of the substrate (up to 1.26 mM), whilst for Friedländer cyclization, a conversion over 95% within a retention time of only 20 min can be achieved by metal-organic-framework-decorated porous Cu catalyst. The utilization of dual metallic particles as printable inks offers valuable insights for fabricating hierarchical porous metallic structures for applications, such as advanced fixed-bed catalysts. © 2024 The Authors. Co-published by Zhejiang University and American chemical Society.

关键词： Cyclization

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