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Boring holes in Au nanoplates by active surface etching

Nano Research 2024年第9期17卷 8610-8617页

作者： Haiyang Hu Yuntao Wang Qian Wang Xudong Peng An Su Hong Wang Hongyu Chen Institute of Advanced Synthesis(IAS)and School of Chemistry and Molecular Engineering Jiangsu National Synergetic Innovation Centre for Advanced MaterialsNanjing Tech UniversityNanjing 211816China Department of Environmental Science and Engineering University of Science and Technology of ChinaHefei 230026China Department of Chemistry School of Science and Key Laboratory for Quantum Materials of Zhejiang ProvinceResearch Center for Industries of the FutureWestlake UniversityHangzhou 310030China Institute of Natural Sciences Westlake Institute for Advanced StudyHangzhou 310024China

In contrast to the conventional etching that makes nanoparticles rounder and our previous sharpening etching mode that causes serrated edges,here,we developed a new boring etching mode that targets the faces of Au nanoplates to make *** critical factors are the pre-incubation step with the ligand 2-mercapto-5-benzimidazolecarboxylic acid(MBIA)and the subsequent removal of excess ligands in the ***,etching is focused onto the few sites with initial loss of ligands,which cannot be quickly *** choice of ligand MBIA is also of importance,as it carries negative charge and repels each *** inability of forming a dense layer probably plays a critical role in the site-selectivity for faces,because ligands at the higher curvature edges and corners are expected to have less *** etching results from the comproportionation reaction between Au3+and Au0 in the nanoplates,where Br-coordination to Au and the extra stabilization from cetyltrimethylammonium bromide(CTAB)are *** believe that the ability of boring holes is an important tool for future synthetic designs.

关键词： Au nanoplates active surface etching boring etching mode cetyltrimethylammonium bromide(CTAB)passivation holes

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Progress in computational understanding of ferroelectric mechanisms in HfO_(2)

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npj Computational Materials 2024年第1期10卷 1292-1309页

作者： Tianyuan Zhu Liyang Ma Shiqing Deng Shi Liu Key Laboratory for Quantum Materials of Zhejiang Province Department of PhysicsSchool of ScienceWestlake UniversityHangzhouZhejiang310030China Institute of Natural Sciences Westlake Institute for Advanced StudyHangzhouZhejiang310024China Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology BeijingBeijing100083China

Since the first report of ferroelectricity in nanoscale HfO_(2)-based thin films in 2011,this siliconcompatible binary oxide has quickly garnered intense interest in academia and industry,and continues to do *** its deceivingly simple chemical composition,the ferroelectric physics supported by HfO_(2) is remarkably complex,arguably rivaling that of perovskite *** investigations,especially those utilizing first-principles density functional theory(DFT),have significantly advanced our understanding of the nature of ferroelectricity in these thin films.

关键词： ferroelectric utilizing mechanisms

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Unveiling the size effect of nitrogen-doped carbon-supported copper-based catalysts on nitrate-to-ammonia electroreduction

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Nano Research 2024年第4期17卷 2438-2443页

作者： Ran Li Taotao Gao Wenxi Qiu Minghao Xie Zhaoyu Jin Panpan Li College of Materials Science and Engineering Sichuan UniversityChengdu 610065China Institute for Advanced Study Chengdu UniversityChengdu 610106China Materials Science and Engineering Program and Walker Department of Mechanical Engineering The University of Texas at AustinAustinTexas 78712USA Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengdu 610054China

The electrocatalytic nitrate reduction reaction(NitRR)represents a promising approach toward achieving economically and environmentally sustainable ***,it remains a challenge to regulate the size effect of electrocatalysts to optimize the catalytic activity and ammonia ***,the Cu-based catalysts were tailored at the atomic level to exhibit a size gradient ranging from single-atom catalysts(SACs,0.15–0.35 nm)to single-cluster catalysts(SCCs,1.0–2.8 nm)and nanoparticles(NPs,20–30 nm),with the aim of studying the size effect for the NO_(3)^(-)-to-NH_(3) reduction ***,the Cu SCCs exhibit enhanced metal–substrate and metal–metal interactions by taking advantageous features of Cu SACs and Cu ***,Cu SCCs achieve exceptional electrocatalytic performance for the NitRR with a maximum Faradaic efficiency of ca.96%NH_(3)and the largest yield rate of ca.1.99 mg·h^(-1)·cm^(-2) at-0.5 V *** hydrogen electrode(RHE).The theoretical calculation further reveals the size effect and coordination environment on the high catalytic activity and selectivity for the *** work provides a promising various size-controlled design strategy for aerogel-based catalysts effectively applied in various electrocatalytic reactions.

关键词： nitrate electroreduction ammonia electrosynthesis size effect single-cluster catalyst

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Effective diffusivity of a Janus sphere in an external field

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Applied Mathematics and Mechanics(English Edition) 2025年第3期46卷 539-554页

作者： Tianyu YUAN L.P.LIU Jianxiang WANG Institute for Advanced Study Chengdu UniversityChengdu 610106China Department of Mechanical and Aerospace Engineering Rutgers UniversityNew Jersey 08854U.S.A. Department of Mathematics Rutgers UniversityNew Jersey 08854U.S.A. Department of Mechanics and Engineering Science College of EngineeringPeking UniversityBeijing 100871China

During nearly 200 years of development in the knowledge of Brownian motion,the Janus sphere,as a typical Brownian particle with special surface properties,has been widely studied in the past few decades.A standard Janus sphere possesses two distinct *** two surfaces elicit different hydrodynamic interactions with ambient fluids or other interactions in response to environmental stimuli,such as chemical gradients,magnetic fields,and even *** diffusion of Janus spheres,particularly when controlled by a remotely applied field,has inspired various applications,ranging from the design of micro-swimmers and novel procedures for probing the mechanical properties of suspensions to the fabrication of composites with enhanced *** this work,we report a systematic analysis of field-controlled diffusion of Janus *** with stochastic differential equations of motion at the microscale,we derive a coarse-grained Fokker-Planck equation at the macroscale,describing the evolution of the probability distribution function of the Janus sphere in terms of its position and *** the concept of the hydrodynamic center,we derive,for the first time,explicit generalized Stokes-Einstein relations for long-time effective diffusivity,incorporating the effects of both the surface discontinuity of the Janus sphere and the external *** formulae enable predictions of the effective diffusivity as it varies with the slip length and characteristic angle of Janus spheres,and reveal the impact of an aligning potential field on the diffusion coefficients both parallel and perpendicular to the direction of the *** work not only deepens the understanding of field-controlled diffusion of Janus particles,but also holds a meaningful impact on the future applications in microfluidics and related fields.

关键词： Brownian motion effective diffusivity Janus sphere hydrodynamic center

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High Performance Microwave Absorption Material Based on Metal-Backboned Polymer

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Chinese Journal of Polymer science 2024年第12期42卷 1881-1887,I0006页

作者： Jia-Ning Xu Kai-Wen Zeng Yi-Feng Zhang Yi-Bei Yang Zi-Wei Liu Yue Liu Jia-Jia Wang Kai-Lin Zhang Yan-Ru-Zhen Wu Hao Sun Hui-Sheng Peng State Key Laboratory of Molecular Engineering of Polymers Department of Macromolecular ScienceInstitute of Fiber Materials and Devicesand Laboratory of AdvancedMaterialsFudanUniversityShanghai200438China Frontiers Science Center for Transformative Molecules Schoolof Chemistry and Chemical Engineeringand Zhangjiang Institute for Advanced StudyShanghai JiaoTongUniversityShanghai200240China

Metal-backboned polymers with anisotropy microstructures are promising for conductive,optoelectronic,and magnetic functional ***,the structure-property relationships governing the interplay between the chemical structure and electromagnetic property of the metal-backboned polymer have been rarely *** we report a carbon/nickel hybrid from metal-backboned polymer to serve as electromagnetic wave-absorbing materials,which exhibit high microwave absorption capacity and tunable absorption *** presence of nickel backbones promote the generation of heterogeneous interfaces with carbon during calcination,thereby enhancing the wave-absorbing capacity of the carbon/nickel *** C/Ni hybrids show a minimal reflection loss of-49.1 dB at 13.04 GHz,and its frequency of the absorption band can be adjusted by controlling the thickness of the absorption layer.

关键词： Nickel Metal-backboned polymer Carbon Hybrid material

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Learning-based real-time imaging through dynamic scattering media

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Light(science & Applications) 2024年第10期13卷 2131-2144页

作者： Haishan Liu Fei Wang Ying Jin Xianzheng Ma Siteng Li Yaoming Bian Guohai Situ shanghai Institute of Optics and Fine Mechanics Chinese Academy of SciencesShanghai 201800China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences100049 BejingChina Department of Engineering Science University of OxfordOxfordUk Hangzhou Institute for Advanced Study University of Chinese Academy of SciencesHangzhou 310024China

Imaging through dynamic scattering media is one of the most challenging yet fascinating problems in optics,with applications spanning from biological detection to remote *** this study,we propose a comprehensive learning-based technique that facilitates real-time,non-invasive,incoherent imaging of real-world objects through dense and dynamic scattering *** conduct extensive experiments,demonstrating the capability of our technique to see through turbid water and natural *** experimental results indicate that the proposed technique surpasses existing approaches in numerous aspects and holds significant potential for imaging applications across a broad spectrum of disciplines.

关键词： dynamic media holds

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A self-cleaning window for high-efficiency photodegradation of indoor formaldehyde

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Chinese Chemical Letters 2024年第9期35卷 340-345页

作者： Changzhu Huang Wei Dai Shimao Deng Yixin Tian Xiaolin Liu Jia Lin Hong Chen Department of Physics Shanghai Key Laboratory of Materials Protection and Advanced Materials in Electric PowerShanghai University of Electric PowerShanghai 200090China Shenzhen Key Laboratory of Interfacial Science and Engineering of Materials State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution ControlGuangdong Provincial Key Laboratory of Soil and Groundwater Pollution ControlSchool of Environmental Science and EngineeringSouthern University of Science and TechnologyShenzhen 518055China Eastern Institute for Advanced Study Eastern Institute of TechnologyNingbo 315200China

Formaldehyde(HCHO)as an indoor air pollutant released by new furniture and decorative materials is of great *** a self-cleaning device to remove HCHO is an ideal way to improve indoor air *** this study,a self-cleaning window with a multilayered structure constructed from fluorinedoped tin oxide/bismuth tungstate/resorcinol-formaldehyde resin(FTO/Bi_(2)WO_(6)/RF)has been fabricated,which is capable of degrading HCHO in natural indoor *** as-fabricated device could utilize the natural room light and promote the generation and transfer of the photocatalytic carriers in Bi_(2)WO_(6),which subsequently delivers a good catalytic oxygen reduction efficiency in RF to produce hydrogen peroxide(H_(2)O_(2)).The as-synthesized H_(2)O_(2)could further split into hydroxyl radicals(•OH),then oxide the HCHO molecules in the *** present study demonstrates a novel and efficient strategy to fabricate a transparent multifunctional window for self-cleaning indoor gaseous pollutants,the concept is of great importance to be expanded in a broad range of indoor furniture for in-house air pollution control.

关键词： Bismuth tungstate Resorcinol-formaldehyde Photocatalysis Hydrogen peroxide HCHO degradation

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Local-distortion-informed exceptional multicomponent transition-metal carbides uncovered by machine learning

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npj Computational Materials 2024年第1期10卷 1576-1585页

作者： Jun Zhang Liu He Yaoxu Xiong Shasha Huang Biao Xu Shihua Ma Xuepeng Xiang Haijun Fu Jijung Kai Zhenggang Wu Shijun Zhao Department of Mechanical Engineering City University of Hong KongHong KongChina College of Materials Science and Engineering Hunan UniversityChangshaHunan410082China Hong Kong Institute for Advanced Study City University of Hong KongHong KongChina

Developing high-performance multicomponent ceramics,which are promising in solving challenges posed by emerging technologies,shows grand difficulties because of the immense compositional space and complex local *** this work,an accurate machine learning(ML)model built upon an ab initio database is developed to predict the mechanical properties and structural distortions of multicomponent transition metal carbides(MTMCs).

关键词： carbides distortion multicomponent

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Recent Advances in Redox Flow Batteries Employing Metal Coordination Complexes as Redox-Active Species

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Electrochemical Energy Reviews 2024年第1期7卷 204-232页

作者： Bin Liu Yiju Li Guocheng Jia Tianshou Zhao Department of Mechanical and Aerospace Engineering The Hong Kong University of Science and TechnologyKowloonHong KongChina Department of Chemistry The Hong Kong University of Science and TechnologyKowloonHong KongChina Department of Mechanical and Energy Engineering Southern University of Science and TechnologyShenzhen 518055China Institute for Advanced Study The Hong Kong University of Science and TechnologyKowloonHong Kong 999077China

Redox flow batteries(RFBs)that employ sustainable,abundant,and structure-tunable redox-active species are of great interest for large-scale energy *** a vital class of redox-active species,metal coordination complexes(MCCs)possessing the properties of both the organic ligands and transition metal ion centers are attracting increasing attention due to the advantages of multielectron charge transfer,high structural tailorability,and reduced material ***,we present a critical overview of RFBs that employ MCCs as redox-active materials in both aqueous and nonaqueous *** progress is comprehensively summarized,including the design strategies,solubility characteristics,electrochemical properties,and battery cycling performance of *** is placed on the ligand selection and modification strategies used to tune the critical properties of MCCs,including their redox potential,solubility,cycling stability,and electron transfer redox reactions,to achieve stable cycled RFBs with a high energy ***,we discuss the current challenges and perspectives related to the development of MCC-based RFBs for large-scale energy storage implementations.

关键词： Energy storage Redox flow battery Metal coordination complex Electrochemistry Redox noninnocent ligands

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A deep Q-learning model for sequential task offloading in edge AI systems

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Intelligent and Converged Networks 2024年第3期5卷 207-221页

作者： Dong Liu Shiheng Gu Xinyu Fan Xu Zheng Department of Computer Science and Engineering University of Electronic Science and Technology of ChinaChengdu 610000China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of ChinaShenzhen 515100China Department of Information and Software Engineering University of Electronic Science and Technology of ChinaChengdu 610000China

Currently,edge Artificial Intelligence(AI)systems have significantly facilitated the functionalities of intelligent devices such as smartphones and smart cars,and supported diverse applications and *** fundamental supports come from continuous data analysis and computation over these *** the resource constraints of terminal devices,multi-layer edge artificial intelligence systems improve the overall computing power of the system by scheduling computing tasks to edge and cloud servers for *** efforts tend to ignore the nature of strong pipelined characteristics of processing tasks in edge AI systems,such as the encryption,decryption and consensus algorithm supporting the implementation of Blockchain ***,this paper proposes a new pipelined task scheduling algorithm(referred to as PTS-RDQN),which utilizes the system representation ability of deep reinforcement learning and integrates multiple dimensional information to achieve global task ***,a co-optimization strategy based on Rainbow Deep Q-Learning(RainbowDQN)is proposed to allocate computation tasks for mobile devices,edge and cloud servers,which is able to comprehensively consider the balance of task turnaround time,link quality,and other factors,thus effectively improving system performance and user *** addition,a task scheduling strategy based on PTS-RDQN is proposed,which is capable of realizing dynamic task allocation according to device *** results based on many simulation experiments show that the proposed method can effectively improve the resource utilization,and provide an effective task scheduling strategy for the edge computing system with cloud-edge-end architecture.

关键词： edge computing task scheduling reinforcement learning Rainbow Deep Q-Learning(RainbowDQN)

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