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Designing artificial ion channels with strict K+/Na+ selectivity toward next-generation electric-eel-mimetic ionic power generation

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National science Review 2023年第12期10卷 193-202页

作者： Jipeng Li Linhan Du Xian Kong Jianzhong Wu Diannan Lu Lei Jiang Wei Guo State Key Laboratory of Marine Resource Utilization in South China Sea School of Materials Science and Engineering Hainan University Department of Chemical Engineering Tsinghua University South China Advanced Institute for Soft Matter science and technology Guangdong Provincial Key Laboratory of Functional and Intelligent Hybrid Materials and Devices School of Emergent Soft MatterSouth China University of Technology Department of Chemical and Environmental Engineering University of California Research Institute for Frontier science Beihang University Center for Quantum Physics and Intelligent sciences Department of Physics Capital Normal University

A biological potassium channel is> 1000 times more permeable to K+than to Na+and exhibits a giant permeation rate of ～108ions/*** is a great challenge to construct artificial potassium channels with such high sele ctivity and ion conduction ***,we unveil a long-overlo oked structural feature that underpins the ultra-high K+/Na+*** carrying out massive molecular dynamics simulation for ion transport through carbonyl-oxygen-modified bi-layer graphene nanopores,we find that the twisted carbonyl rings enable strict potassium selectivity with a dynamic K+/Na+selectivity ratio of 1295 and a K+conduction rate of 3.5 × 107ions/s,approaching those of the biological ***,atomic trajectories of K+permeation events suggest a dual-ion transport mode,*** like-charged potassium ions are successively captured by the nanopores in the graphene bi-layer and are interconnected by sharing one or two interlayer water *** dual-ion behavior allows rapid release of the exiting potassium ion via a soft knock-on mechanism,which has previously been found only in biological ion *** a proof-of-concept utilization of this discovery,we propose a novel way for ionic power generation by mixing KCl and NaCl solutions through the bi-layer graphene nanopores,termed potassium-permselectivity enabled osmotic power generation(PoPee-OP G).Theoretically,the biomimetic device achieves a very high power density of> 1000 W/m2with graphene sheets of <1% *** study provides a blueprint for artificial potassium channels and thus paves the way toward next-generation electric-eel-mimetic ionic power generation.

关键词： artificial ion channel bi-layer graphene dehydrated ion transport bio-inspired materials energy conversion

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Competition of Composition Fluctuation Modes in Weakly Segregated Salt-doped Symmetric Diblock Copolymers

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Chinese Journal of Polymer science 2024年第9期42卷 1375-1385,I0008页

作者： Yuan-Xin Zhou Xian Kong South China Advanced Institute for Soft Matter science and technology School of Emergent Soft MatterSouth China University of TechnologyGuangzhou510640China Guangdong Provincial Key Laboratory of Functional and Intelligent Hybrid Materials and Devices South China University of TechnologyGuangzhou510640China

Salt-doped block copolymers have widespread applications in batteries,fuel cells,semiconductors,and various industries,where their properties crucially depend on phase separation ***,investigations into salt-doped diblock copolymers have predominantly focused on microphase separation,overlooking the segregation between ionic and polymeric *** study employs weak segregation theory to explore the interplay between phase separation dominated by the polymer-modulated mode and the salt-out-modulated mode,corresponding to microscopic and macroscopic phase separations,*** comparing diblock copolymers doped with salts to those doped with neutral solvents,we elucidate the significant role of charged species in modulating phase *** phase separation mode exhibits a transition between the polymer-modulated and salt-out-modulated modes at different *** systems doped with neutral solvents,this transition is stepwise,while in salt-ion-doped systems,it is *** a sufficiently large Flory-Huggins parameter between ions and polymers,the salt-out-modulated mode becomes dominant,promoting macrophase *** to the solvation effect of salt ions,salt-doped systems are more inclined to undergo microphase ***,we explore factors influencing the critical wavenumber of phase separation,including doping level and the Flory-Huggins parameters between two blocks and between ions and polymeric *** findings reveal that in a neutral solvent environment,these factors alter only the boundary between micro-and macro-phase separations,leaving the critical wavenumber unchanged in microphase separation ***,in a salt-doped environment,the critical wavenumber of microphase separation varies with these *** provides valuable insights into the pivotal role of electrostatics in the phase separation of salt-doped block copolymers.

关键词： Block copolymer Phase separation Field theory Salt-doped

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Reducing voltage hysteresis of metal oxide anodes to achieve high energy efficiency for Li-ion batteries

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Journal of Energy Chemistry 2023年第8期83卷 433-444,I0011页

作者： Xuexia Lan Xingyu Xiong Jie Cui Renzong Hu School of Materials science and Engineering Guangdong Provincial Key Laboratory of Advanced Energy Storage MaterialsSouth China University of TechnologyGuangzhou 510640GuangdongChina Analytical and Testing Center South China University of TechnologyGuangzhou 510640GuangdongChina

In the past two decades,a lot of high-capacity conversion-type metal oxides have been intensively studied as alternative anode materials for Li-ion batteries with higher energy ***,their large voltage hysteresis(0.8-1.2 V) within reversed conversion reactions results in huge round-trip inefficiencies and thus lower energy efficiency(50%-75%) in full cells than those with graphite *** remains a long-term open question and has been the most serious drawback toward application of metal oxide *** we clarify the origins of voltage hysteresis in the typical SnO2anode and propose a universal strategy to minimize *** the established in situ phosphating to generate metal phosphates during reversed conversion reactions in synergy with boosted reaction kinetics by the added P and Mo,the huge voltage hysteresis of 0.9 V in SnO_(2),SnO_(2)-Mo,and 0.6 V in SnO2-P anodes is minimized to 0.3 V in a ternary SnO_(2)-Mo-P(SOMP) composite,along with stable high capacity of 936 mA h g^(-1)after 800 *** small voltage hysteresis can remain stable even the SOMP anode operated at high current rate of10 A g^(-1)and wide-range temperatures from 60 to 30℃,resulting in a high energy efficiency of88.5% in full *** effective strategy to minimize voltage hysteresis has also been demonstrated in Fe2O3,Co3O4-basded conversion-type *** work provides important guidance to advance the high-capacity metal oxide anodes from laboratory to industrialization.

关键词： Conversion reaction Voltage hysteresis Energy efficiency Phosphating

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An Enhanced GAN for Image Generation

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Computers, Materials & Continua 2024年第7期80卷 105-118页

作者： Chunwei Tian Haoyang Gao Pengwei Wang Bob Zhang PAMI Research Group University of MacaoMacao999078China School of Software Northwestern Polytechnical UniversityXi’an710129China Yangtze River Delta Research Institute Northwestern Polytechnical UniversityTaicang215400China Research&Development Institute Northwestern Polytechnical UniversityShenzhen518057China

Generative adversarial networks(GANs)with gaming abilities have been widely applied in image ***,gamistic generators and discriminators may reduce the robustness of the obtained GANs in image generation under varying *** the relation of hierarchical information in a generation network and enlarging differences of different network architectures can facilitate more structural information to improve the generation effect for image *** this paper,we propose an enhanced GAN via improving a generator for image generation(EIGGAN).EIGGAN applies a spatial attention to a generator to extract salient information to enhance the truthfulness of the generated *** into relation the context account,parallel residual operations are fused into a generation network to extract more structural information from the different ***,a mixed loss function in a GAN is exploited to make a tradeoff between speed and accuracy to generate more realistic *** results show that the proposed method is superior to popular methods,i.e.,Wasserstein GAN with gradient penalty(WGAN-GP)in terms of many indexes,i.e.,Frechet Inception Distance,Learned Perceptual Image Patch Similarity,Multi-Scale Structural Similarity Index Measure,Kernel Inception Distance,Number of Statistically-Different Bins,Inception Score and some visual images for image generation.

关键词： Generative adversarial networks spatial attention mixed loss image generation

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Spatiotemporal studies of molecular clusters with neutron scattering methodology

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Chinese Journal of Structural Chemistry 2023年第5期42卷 1-7页

作者： Lu Liu Shengqiu Liu Jin Liu Linjie Lan Pengcheng Cui Junsheng Yang Jia-Fu Yin Panchao Yin State Key Laboratory of Luminescent Materials and Devices&South China Advanced Institute for Soft Matter science and technology South China University of TechnologyGuangzhou510640PR China

Molecular clusters(MCs)refer to a class of atom collections with sizes ranging from 1 to 10 nms,which are structurally precise and ***,the MC family contains polyoxometalates(POMs),polyhedral oligomeric silsesquioxane... 详细信息

关键词： clusters precise sizes

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Image super‐resolution via dynamic network

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CAAI Transactions on Intelligence technology 2024年第4期9卷 837-849页

作者： Chunwei Tian Xuanyu Zhang Qi Zhang Mingming Yang Zhaojie Ju School of Software Northwestern Polytechnical UniversityXi'anChina National Engineering Laboratory for Integrated Aero‐Space‐Ground‐Ocean Big Data Application technology Xi'anChina Research&Development Institute Northwestern Polytechnical UniversityShenzhenChina School of Economics and Management Harbin Institute of Technology at WeihaiWeihaiChina Tencent AI Lab ShenzhenChina School of Computing University of PortsmouthPortsmouthUK

Convolutional neural networks depend on deep network architectures to extract accurate information for image super‐***,obtained information of these con-volutional neural networks cannot completely express predicted high‐quality images for complex scenes.A dynamic network for image super‐resolution(DSRNet)is presented,which contains a residual enhancement block,wide enhancement block,feature refine-ment block and construction *** residual enhancement block is composed of a residual enhanced architecture to facilitate hierarchical features for image super‐*** enhance robustness of obtained super‐resolution model for complex scenes,a wide enhancement block achieves a dynamic architecture to learn more robust information to enhance applicability of an obtained super‐resolution model for varying *** prevent interference of components in a wide enhancement block,a refine-ment block utilises a stacked architecture to accurately learn obtained ***,a residual learning operation is embedded in the refinement block to prevent long‐term dependency ***,a construction block is responsible for reconstructing high‐quality *** heterogeneous architecture can not only facilitate richer structural information,but also be lightweight,which is suitable for mobile digital *** results show that our method is more competitive in terms of performance,recovering time of image super‐resolution and *** code of DSRNet can be obtained at https://***/hellloxiaotian/DSRNet.

关键词： CNN dynamic network image super‐resolution lightweight network

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Metal-organic polyhedra as dynamic cross-linker for recyclable mixed matrix membranes with promising dimension stability

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science China Chemistry 2024年

作者： Linjie Lan Mingxin Zhang Haiyan Xiao Liufu Wei Yuyan Lai Jiadong Chen Jiafu Yin Panchao Yin State Key Laboratory of Luminescent Materials and Devices&South China Advanced Institute for Soft Matter science and technology Guangdong Basic Research Center of Excellence for Energy and Information Polymer MaterialsSouth China University of Technology State Key Laboratory of Marine Resource Utilization in South China Sea Hainan Provincial Key Lab of Fine ChemistrySchool of Chemical Engineering and TechnologyHainan University

Mixed matrix membranes （MMMs） are designed by incorporating microporous inorganic fillers into polymer matrix for the integration of inorganics’excellent gas separation performance with polymers’promising ***,due to the complex interphase interaction,the prevention of long-term aging is still challenging and the poor processability/recyclability of MMMs hinders their extensive ***,a coordination assembly protocol is developed for the fabrication of MMMs with both excellent processability/recyclability upon thermal annealing and promising dimension stability even under high gas *** bearing isophthalic acid （IPA） as side chains are applied to coordinate with Cu2+and the assembled 2.5 nm microporous metal-organic polyhedra （MOP）,{Cu24IPA24},serves as multi-functional cross-linkers for the polymer network *** MOPs’well-defined microporosity grants MMMs the capability for O2/N2separation while their activated dynamics at high temperatures （>120°C） endows polymer networks with excellent *** contrast to conventional supramolecular units,the MOPs possess unique logarithmic ligand-exchange kinetics and they show nearly frozen bonding dynamics at room temperature,ensuring promising dimensional stability to overcome the long-term aging and high gas pressure *** work not only provides fundamental understanding of the unique relaxation dynamics of complex systems with intertwined dynamics of supramolecular bonds and polymer chains,but also paves new avenues for the fabrication of robust and recyclable MMMs and elastomers.

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