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Multifunctional Nacre.Like Nanocomposite Papers for electromagnetic Interfere.ce Shielding via heterocyclic Aramid/MXene Template‑Assisted In‑Situ Polypyrrole Assembly

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Nano-Micro Letters 2025年第3期17卷 37-54页

作者： Jinhua Xiong Xu Zhao Zonglin Liu he Chen Qian Yan Huanxin Lian Yunxiang Chen Qingyu peng Xiaodong he National Key Laboratory of Science and Technology on Advanced Composites in Special environments Center for Composite Materials and StructuresHarbin Institute of TechnologyHarbin 150080People’s Republic of China

Robust, ultra-flexible, and multifunctional MXene-basedelectromagnetic interfere.ce (eMI) shielding nanocomposite filmsexhibit enormous potential for applications in artificial intelligence,wire.ess telecommunication, and portable/wearable electronic *** this work, a nacre.inspire. multifunctional heterocyclic aramid(HA)/MXene@polypyrrole (PPy) (HMP) nanocomposite paper withlarge-scale, high stre.gth, super toughness, and excellent tolerance tocomplex conditions is fabricated through the strategy of HA/MXenehydrogel template-assisted in-situ assembly of PPy. Benefiting from the"brick-and-mortar" layere. structure.and the strong hydrogen-bondinginteractions among MXene, HA, and PPy, the paper exhibits re.arkable mechanical performances, including high tensile stre.gth (309.7 MPa),outstanding toughness (57.6 MJ m−3), exceptional foldability, and structural stability against ultrasonication. By using the template effect ofHA/MXene to guide the assembly of conductive polymers, the synthesized paper obtains excellent electronic conductivity. More.importantly,the highly continuous conductive path enables the nanocomposite paper to achieve a splendid eMI shielding effectiveness (eMI Se) of 54.1 dBat an ultra-thin thickness (25.4 μm) and a high specific eMI Se of 17,204.7 dB cm2g−1. In addition, the papers also have excellent applicationsin electromagnetic protection, electro-/photothermal de-icing, thermal therapy, and fire.safety. These findings broaden the ideas for developinghigh-performance and multifunctional MXene-based films with enormous application potential in eMI shielding and thermal management.

关键词： MXene re.arkable mechanical properties heterocyclic aramid electromagnetic interfere.ce shielding Polypyrrole Multifunctionality

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An efficient Boron Source Activation Strategy for the Low‑Temperature.Synthesis of Boron Nitride Nanotubes

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Nano-Micro Letters 2025年第1期17卷 548-558页

作者： Ying Wang Kai Zhang Liping Ding Liyun Wu Songfeng e Qian he Nanyang Wang Hui Zuo Zhengyang Zhou Feng Ding Yue Hu Jin Zhang Yagang Yao National Laboratory of Solid State Microstructure. College of Engineering and Applied SciencesJiangsu Key Laboratory of Artificial Functional Materialsand Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing 210093People’s Republic of China School of electronic Information and Artificial Intelligence Shaanxi University of Science&TechnologyXian 710000People’s Republic of China College of Biore.ources Chemical and Materials engineering Shaanxi University of Science&TechnologyXian 710000People’s Republic of China Key Laboratory of Carbon Materials of Zhejiang Province College of Chemistry and Materials EngineeringWenzhou UniversityWenzhou 325000People’s Republic of China Shenzhen Institutes of Advanced Technology Chinese Academy of SciencesShenzhen 518000People’s Republic of China College of Chemical and Molecular engineering Peking UniversityBeijing 100871People’s Republic of China

Lowering the synthesis temperature.of boron nitride nanotubes(BNNTs)is crucial for their *** primary re.son for adopting a high temperature.is to enable the effective activation of highmelting-point solid *** this study,we developed a novel approach for efficiently activating boron by introducing alkali metal compounds into the conventional Mgo–B *** approach can be adopted to form various low-melting-point AM–Mg–B–o growth *** growth systems have improved catalytic capability and re.ctivity even under low-temperature.conditions,facilitating the synthesis of BNNTs at temperature. as low as 850℃.In addition,molecular dynamics simulations based on density functional theory theore.ically demonstrate that the systems maintain a liquid state at low temperature. and interact with N atoms to form BN *** findings offer novel insights into the design of boron activation and are.expected to facilitate re.earch on the low-temperature.synthesis of BNNTs.

关键词： Boron nitride nanotubes Low-temperature Boron activation Density functional theory

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IDSSCNN-XgBoost:Improved Dual-Stre.m Shallow Convolutional Neural Network Based on extre.e Gradient Boosting Algorithm for Micro expre.sion re.ognition

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Computers, Materials & Continua 2025年第1期82卷 729-749页

作者： Adnan Ahmad Zhao Li Irfan Tariq Zhengran he School of Information Science and engineering Southeast UniversityNanjing210016China

Micro-expre.sions(Me)re.ognition is a complex task that re.uire. advanced techniques to extract informative feature. fromfacial *** deep neural networks(DNNs)with convolutional structure. have been ***,unlike DNNs,shallow convolutional neural networks often outperform deeper models in mitigating overfitting,particularly with small ***,many of these methods re.y on a single feature.for re.ognition,re.ulting in an insufficient ability to extract highly effective *** addre.s this limitation,in this paper,an Improved Dual-stre.m Shallow Convolutional Neural Network based on an extre.e Gradient Boosting Algorithm(IDSSCNN-XgBoost)is introduced for Me *** proposed method utilizes a dual-stre.m architecture.where.motion vectors(temporal feature.)are.extracted using optical Flow TV-L1 and amplify subtle changes(spatial feature.)via eulerianVideoMagnification(eVM).These feature. are.processed by IDSSCNN,with an attention mechanism applied to re.ine the extracted effective *** outputs are.then fused,concatenated,and classified using the XgBoost *** compre.ensive approach significantly improves re.ognition accuracy by leveraging the stre.gths of both temporal and spatial information,supported by the robust classification power of *** proposed method is evaluated on thre. publicly available Me databases named Chinese Academy of Sciences Micro-expre.sion Database(CASMeII),Spontaneous Micro-expre.sion Database(SMICHS),and Spontaneous Actions and Micro-Movements(SAMM).experimental re.ults indicate that the proposed model can achieve outstanding re.ults compare. to re.ent *** accuracy re.ults are.79.01%,69.22%,and 68.99%on CASMeII,SMIC-HS,and SAMM,and the F1-score.are.75.47%,68.91%,and 63.84%,*** proposed method has the advantage of operational efficiency and less computational time.

关键词： Me re.ognition dual stre.m shallow convolutional neural network euler video magnification TV-L1 XgBoost

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Bioinspire. Passive Tactile Sensors enabled by re.ersible Polarization of Conjugated Polymers

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Nano-Micro Letters 2025年第1期17卷 361-377页

作者： Feng he Sitong Chen Ruili Zhou Hanyu Diao Yangyang Han Xiaodong Wu School of Mechanical engineering Sichuan UniversityChengdu 610065People’s Republic of China School of Software.engineering Chongqing University of Posts and TelecommunicationsChongqing 400065People’s Republic of China State Key Laboratory of Polymer Materials engineering Sichuan UniversityChengdu 610065People’s Republic of China

Tactile perception plays a vital role for the human body and is also highly desire. for smart prosthesis and advanced *** to active sensing devices,passive piezoelectric and triboelectric tactile sensors consume less power,but lack the capability to re.olve static ***,we addre.s this issue by utilizing the unique polarization chemistry of conjugated polymers for the first time and propose a new type of bioinspire.,passive,and bio-friendly tactile sensors for re.olving both static and dynamic ***,to emulate the polarization process of natural sensory cells,conjugated polymers(including poly(3,4-ethylenedioxythiophen e):poly(styre.esulfonate),polyaniline,or polypyrrole)are.controllably polarized into two opposite states to cre.te artificial potential *** controllable and re.ersible polarization process of the conjugated polymers is fully in situ ***,a micro-structure. ionic electrolyte is employed to imitate the natural ion channels and to encode external touch stimulations into the variation in potential differe.ce *** with the curre.tly existing tactile sensing devices,the developed tactile sensors feature.distinct characteristics including fully organic composition,high sensitivity(up to 773 mV N^(−1)),ultralow power consumption(nW),as well as superior *** demonstrations,both single point tactile perception(surface texture.perception and material property perception)and two-dimensional tactile re.ognitions(shape or profile perception)with high accuracy are.successfully re.lized using self-defined machine learning *** tactile sensing concept innovation based on the polarization chemistry of conjugated polymers opens up a new path to cre.te robotic tactile sensors and prosthetic electronic skins.

关键词： Passive tactile sensors re.ersible polarization of conjugated polymers Tactile perception Machine learning algorithm object re.ognition

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Neuroinflammation re.isited through the microglial lens

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Neural re.eneration re.earch 2025年第7期20卷 1989-1990页

作者： re.ato Socodato João B.re.vas Institute of re.earch and Innovation in health(i3S)and Institute for Molecular and Cell Biology(IBMC) University of PortoPortoPortugal Department of Biomedicine Faculty of Medicine of the University of Porto(FMUP)PortoPortugal

Neuroimmunology is emerging as a pivotal field,shedding light on the intricate dialogues between the central nervous system(CNS)and the immune *** exploration is particularly significant in understanding microglia,the CNS’s innate immune cells,beyond the conventional conflation of“neuroinflammation”and“microglial activation.”This conflation has clouded the true complexity of these processes,potentially stalling scientific progre.s and the development of new *** challenge the long-standing perspectives that have oversimplified these interactions,advocating for a deeper exploration of the dynamic re.ationship between neuroinflammation and microglial *** dissecting specific molecular pathways,we aim to illuminate their elaborate roles in neuroinflammatory re.ponses,especially in the context of Alzheimer’s disease(AD).here.neuroinflammation is not mere.y a passive observer or a dire.t antagonist but a complex agent in the disease’s *** article calls for a significant paradigm shift towards an integrative,multi-omics approach to *** such a compre.ensive framework is crucial for advancing our understanding of neuroinflammatory conditions and paving the way for targeted therapeutic strategies for brain diseases.

关键词： inflammation simplified activation

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earthquake distribution and lithospheric rheology beneath the Northwestern Andes, Colombia

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Geodesy and Geodynamics 2021年第1期12卷 1-10页

作者： Carla Lagardère.Carlos A.Vargas Department of Geosciences Universidad Nacional de ColombiaBogotaColombia ecole nationale superieure.en environnement georessources et ingenierie du developpement durable(ENSEGID)BordeauxFrance

The rheological behavior of the lithosphere.beneath the Northwestern(NW)Andes(Colombian)re.ains uncertain under a complex geological ***,we analyze the earthquake distribution and the stre.s drop on the western and the eastern of the transition are. between the Upper Magdalena Valley(UMV)and the Middle Magdalena Valley(MMV),a zone re.ated to a plate tectonic transition from steeper to flatter subduction style slabs(Nazca and Caribbean plates).our re.ults consistently explain the tectonic and geodynamic context of the study are. supported in two rheological profiles,which re.eal the brittle/ductile transition of the lithospheric crust and mantle and allow to constrain the lithospheric rheological *** subduction phenomenon of the Nazca Plate under the South American Plate is observed in the western *** the eastern re.ion,we find a re.arkable aseismic zone under the eastern Cordillera below 20-km-deep,which made more.difficultan accurate estimation of the crust/mantle *** seismic particularity leads us to support the hypothesis of a delamination process due to the tectonic overload generated by the eastern Cordillera,and that promotes thermal *** re.ults also suggest that the earthquake dataset corre.ated with rheological estimations may offer a consistent interpre.ation of the mechanical behavior of the lithosphere.

关键词： Lithosphere.rheology Seismicity Northwestern Andes Delamination process

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Artificial neural network approach for multiphase segmentation of battery electrode nano-CT images

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npj Computational Materials 2022年第1期8卷 255-265页

作者： Zeliang Su etienne Decencière.Tuan-Tu Nguyen Kaoutar el-Amiry Vincent De Andrade Alejandro A.Franco Arnaud Demortière Laboratoire.de Réactivitéet Chimie des Solides(LRCS) CNRS UMR 7314Universitéde Picardie Jules VerneHub de l’EnergieRue Baudelocque80039Amiens CedexFrance Réseau sur le Stockage electrochimique de l’energie(RS2e) CNRS FR 3459Hub de l’EnergieRue Baudelocque80039Amiens CedexFrance MINeS ParisTech–PSL re.earch University CMMCenter for Mathematical Morphology35 rue Saint HonoréFontainebleauFrance re.ault Technocentre 78084GuyancourtFrance Advanced Photon Source Argonne National LaboratoryLemontUSA Institut Universitaire.de France 101 Boulevard Saint Michel75005ParisFrance ALISTore.european re.earch Institute CNRS FR 3104Hub de l’EnergieRue Baudelocque80039Amiens CedexFrance

The segmentation of tomographic images of the battery electrode is a crucial processing step,which will have an additional impact on the re.ults of material characterization and electrochemical ***,manually labeling X-ray CT images(XCT)is time-consuming,and these XCT images are.generally difficult to segment with histographical *** propose a deep learning approach with an asymmetrical depth encode-decoder convolutional neural network(CNN)for re.l-world battery material *** network achieves high accuracy while re.uiring small amounts of labeled data and pre.icts a volume of billions voxel within few *** applying supervised machine learning for segmenting re.l-world data,the ground truth is often *** re.ults of segmentation are.usually qualitatively justified by visual *** try to unravel this fuzzy definition of segmentation quality by identifying the uncertainty due to the human bias diluted in the training *** CNN trainings using synthetic data show quantitative impact of such uncertainty on the determination of material’s ***-XCT datasets of various battery materials have been successfully segmented by training this neural network from *** will also show that applying the transfer learning,which consists of re.sing a well-trained network,can improve the accuracy of a similar dataset.

关键词： neural network battery

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re.ining Linked Data with Games with a Purpose

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Data Intelligence 2020年第3期2卷 417-442页

作者： Ire.e Celino Gloria re.Calegari Andre. Fiano Cefriel Milano 20126Italy

With the rise of linked data and knowledge graphs,the need becomes compelling to find suitable solutions to incre.se the coverage and corre.tness of data sets,to add missing knowledge and to identify and re.ove *** approaches-mostly re.ying on machine learning and natural language processing techniques-have been proposed to addre.s this re.inement goal;they usually need a partial gold standard,i.e.,some“ground truth”to train automatic *** standards are.manually constructed,either by involving domain experts or by adopting crowdsourcing and human computation *** this paper,we pre.ent an open source software.framework to build Games with a Purpose for linked data re.inement,i.e.,Web applications to crowdsource partial ground truth,by motivating user participation through fun *** detail the impact of this new re.ource by explaining the specific data linking“purposes”supported by the framework(cre.tion,ranking and validation of links)and by defining the re.pective crowdsourcing tasks to achieve those *** also introduce our approach for incre.ental truth infere.ce over the contributions provided by players of Games with a Purpose(also abbre.iated as GWAP):we motivate the need for such a method with the specificity of GWAP *** crowdsourcing;we explain and formalize the proposed process,explain its positive consequences and illustrate the re.ults of an experimental comparison with state-of-the-art *** show this re.ource’s versatility,we describe a set of diverse applications that we built on top of it;to demonstrate its re.sability and extensibility potential,we provide re.ere.ces to detailed documentation,including an entire.tutorial which in a few hours guides new adopters to customize and adapt the framework to a new use case.

关键词： Human computation Games with a purpose Linked data Knowledge graph Data re.inement Data linking Truth infere.ce

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Self-supervised image quality assessment for X-ray tomographic images of Li-ion battery

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npj Computational Materials 2022年第1期8卷 1848-1856页

作者： Kai Zhang Tuan-Tu Nguyen Zeliang Su Arnaud Demortière Laboratoire.de Réactivitéet Chimie des Solides(LRCS) CNRS UMR 7314UPJVHub de l’Energie15 rue Baudelocque80039Amiens CedexFrance eNSTA Paris 91120PalaiseauFrance re.ault Technocentre 78084GuyancourtFrance Réseau sur le Stockage electrochimique de l’energie(RS2e) CNRS FR 3459Hub de l’EnergieRue Baudelocque80039Amiens CedexFrance ALISTore.european re.earch Institute CNRS FR 3104Hub de l’EnergieRue Baudelocque80039Amiens CedexFrance

Image perception plays a fundamental role in the tomography-based approaches for microstructure.characterization and has a deep impact on all subsequent stages of image processing,such as segmentation and 3D *** enhancement of image perception,however,fre.uently involves observer-dependence,which re.lects user-to-user dispersion and uncertainties in the calculated *** work pre.ents an objective quantitative method,which uses convolutional neural networks (CNN) for the quality assessment of the X-ray tomographic *** only dozens of annotations,our method allows to evaluate dire.tly and pre.isely the quality of tomographic *** metrics were.employed to evaluate the corre.ation between our pre.icted score. and subjective human *** evaluation re.ults demonstrate that our method can be a dire.t tool to guide the enhancement process in order to produce re.iable segmentation *** processing of the tomographic image can thus evolve into a robust observer-independent procedure.and advance towards the development of an efficient self-supervised approach.

关键词： image networks battery

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Discovery of transition rules for geographical cellular automata by using ant colony optimization

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Science China earth Sciences 2007年第10期50卷 1578-1588页

作者： Anthony gar-on YeH Center of Urban Planning and environmental Management The University of Hong Kong Hong Kong SAR China

A new intelligent algorithm of geographical cellular automata (CA) based on ant colony optimization (ACo) is proposed in this paper. CA is capable of simulating the evolution of complex geographical phenomena, and the core.of CA models is how to define transition rules. However, most of the transition rules are.defined by mathematical equations, and are.hence not explicit. When the study are. is complicated, it is much more.difficult to extract parameters for geographical CA. As a re.ult, ACo is applied to geographical CA to automatically and intelligently obtain transition rules in this paper. The transition rules extracted by ACo are.defined as logical expre.sions rather than implicit mathematical equations to describe the complex re.ationships of the nature. and easy for people to understand. The ACo-CA model was applied to simulating rural-urban land conversions in Guangzhou City, China, and appropriate simulation re.ults were.generated. Compare. with See5.0 decision tre. model, ACo-CA is more.suitable to discovering transition rules for geographical CA.

关键词： ant colony optimization, CA, geographical simulation, artificial intelligence

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