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Nanostructured Pt@RuO_(x) catalyst for boosting overall acidic seawater splitting

Chinese Journal of Structural Chemistry 2024年第1期43卷 6-15页

作者： Zimo Peng Quan Zhang Gaocan Qi Hao Zhang Qian Liu Guangzhi Hu Jun Luo Xijun Liu Institute for New Energy Materials&Low-Carbon Technologies School of Materials Science and EngineeringTianjin University of TechnologyTianjin300384China School of Materials Science and Engineering Tianjin University of TechnologyTianjin 300384China Institute for Advanced Study Chengdu UniversityChengdu610106China Institute for Ecological Research and Pollution Control of Plateau Lakes School of Ecology and Environmental ScienceYunnan UniversityKunming650091China ShenSi Lab Shenzhen Institute for Advanced StudyUniversity of Electronic Science and Technology of ChinaLonghua DistrictShenzhen518110China State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures Guangxi Key Laboratory of Processing for Non-ferrous Metals and Featured MaterialsMOE Key Laboratory of New Processing Technology for Nonferrous Metals and MaterialsSchool of ResourcesEnvironment and MaterialsGuangxi UniversityNanning530004China

In the domain of acidic water splitting,designing bifunctional catalysts that marry high activity with enduring stability is a formidable ***,we have constructed platinum-containing ruthenium oxide nanoparticles(Pt@RuO_(x)NPs)to achieve excellent overall water splitting performance in acidic ***@RuO_(x)NPs demonstrate exceptional catalytic activity for both the hydrogen evolution reaction(HER)and oxygen evolution reaction(OER)in acidic seawater,requiring overpotentials of only 20 and 157 mV,respectively to achieve a current density of 10 mA cm^(-2).Furthermore,in 0.5 M H_(2)SO_(4),this catalyst exhibits high HER(19 mV)and OER(236 mV)catalytic *** two-electrode water splitting system composed of bifunctional Pt@RuO_(x)NPs requires cell voltages of only 1.442 and 1.465 V to deliver a current density of 10 mA cm^(-2)in acidic seawater and 0.5 M H_(2)SO_(4).Remarkably,this catalyst displays remarkable stability in the water splitting *** is shown that the introduction of Pt could augment oxygen vacancies and enhance catalytic activity *** synergy between Pt and Ru further contributes to the improved ***,we have observed that acidic seawater holds distinct advantages for acidic water splitting,along with a thorough exploration of the relationship between Cl^(-)concentration and catalytic *** study not only provides a strategy to improve the catalytic activity and stability of ruthenium-based catalysts for water splitting in acidic environments,but also unveils the promoting effect of Cl^(-)on the catalytic activity in acidic water splitting.

关键词： Acidic water splitting Bifunctional catalysts Pt@RuOx nanoparticles Synergistic effect

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Coupling Value-Added Methanol Oxidation with CO₂ Electrolysis by Low-Coordinated Atomic Ni Sites

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ACS Nano 2025年第21期19卷 20001-20011页

作者： Lian, Kang Gao, Sanshuang Liu, Wenxian Liu, Qian Feng, Yanhong Luo, Jun Hu, Guangzhi Chu, Ke Wang, Dingsheng Liu, Xijun MOE Key Laboratory of New Processing Technology for Nonferrous Metals and Materials Guangxi Key Laboratory of Processing for Non-ferrous Metals and Featured Materials School of Resources Environment and Materials Guangxi University Guangxi Nanning 530004 China Institute for New Energy Materials & Low-Carbon Technologies School of Materials Science and Engineering Tianjin University of Technology Tianjin 300384 China College of Materials Science and Engineering Zhejiang University of Technology Hangzhou 310014 China Institute for Advanced Study Chengdu University Sichuan Chengdu 610106 China ShenSi Lab Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Shenzhen 518110 China Institute for Ecological Research and Pollution Control of Plateau Lakes School of Ecology and Environmental Science Yunnan University Kunming 650504 China School of Materials Science and Engineering Lanzhou Jiaotong University Lanzhou 730070 China Department of Chemistry Tsinghua University Beijing 100084 China

The combination of CO2 fixation and small organic molecule oxidation offers a promising solution to increasing severe environmental issues and energy crises. Here, low-coordinated NiN3 sites were anchored onto nitroge... 详细信息

The combination of CO₂ fixation and small organic molecule oxidation offers a promising solution to increasing severe environmental issues and energy crises. Here, low-coordinated NiN₃ sites were anchored onto nitrogen-doped ordered mesoporous carbon (Ni-SAs/NOMC), which is capable of efficiently catalyzing the coupled methanol oxidation reaction and CO₂ reduction reaction (MOR||CO₂RR), thereby reducing the energy required for CO₂ conversion and enhancing the economic value of the CO₂ electrolytic system. In the membrane electrode assembly electrolyzer-based MOR||CO₂RR, Ni-SAs/NOMC achieved Faradaic efficiencies (FEs) of 95.4% for formate at the anode and 96.3% for CO at the cathode. Moreover, at a current density of 0.8 A cm^-2, Ni-SAs/NOMC demonstrated stable electrolysis for up to 100 h, with FEs at both the anode and cathode remaining stable at approximately 90%. In situ spectroscopy analyses and theoretical calculations identified the formation of critical intermediate species and the origin of activity improvement, guiding the development of efficient electrosynthesis of valuable chemicals. © 2025 American Chemical Society.

关键词： carbon dioxide fixation hybrid electrolysis system low-coordinated atomic Ni sites methanol oxidation reaction value-added chemicals

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Elite-guided equilibrium optimiser based on information enhancement:Algorithm and mobile edge computing applications

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CAAI Transactions on Intelligence Technology 2024年第5期9卷 1126-1171页

作者： Zong-Shan Wang Shi-Jin Li Hong-Wei Ding Gaurav Dhiman Peng Hou Ai-Shan Li Peng Hu Zhi-Jun Yang Jie Wang School of Information Science and Engineering Yunnan UniversityKunmingChina Shenzhen Institute for Advanced Study University of Electronic Science and Technology of ChinaShenzhenChina Academic Affairs Office Yunnan University of Finance and EconomicsKunmingChina Faculty of Management and Economics Kunming University of TechnologyKunmingChina Department of Electrical and Computer Engineering Lebanese American UniversityBeirutLebanon Department of Computer Science and Engineering University Centre for Research and DevelopmentChandigarh UniversityChennaiIndia Department of Computer Science and Engineering Graphic Era Deemed to Be UniversityDehradunIndia School of Computer Science Fudan UniversityShanghaiChina Rackham Graduate School University of MichiganAnn ArborMIUSA Research and Development Department Youbei Technology Co.LTDKunmingChina School of Mechanical and Power Engineering Zhengzhou UniversityZhengzhouChina

The Equilibrium Optimiser(EO)has been demonstrated to be one of the metaheuristic algorithms that can effectively solve global optimisation *** the paradox between exploration and exploitation operations while enhancing the ability to jump out of the local optimum are two key points to be addressed in EO *** alleviate these limitations,an EO variant named adaptive elite-guided Equilibrium Optimiser(AEEO)is ***,the adaptive elite-guided search mechanism enhances the balance between exploration and *** modified mutualism phase reinforces the information interaction among particles and local optima *** cooperation of these two mechanisms boosts the overall performance of the basic *** AEEO is subjected to competitive experiments with state-of-the-art algorithms and modified algorithms on 23 classical benchmark functions and IEE CEC 2017 function test *** results demonstrate that AEEO outperforms several well-performing EO variants,DE variants,PSO variants,SSA variants,and GWO variants in terms of convergence speed and *** addition,the AEEO algorithm is used for the edge server(ES)placement problem in mobile edge computing(MEC)*** experimental results show that the author’s approach outperforms the representative approaches compared in terms of access latency and deployment cost.

关键词： ANT COLONY optimization CLOUD COMPUTING GENETIC ALGORITHMS SWARM intelligence

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Synergistic rare-earth yttrium single atoms and copper phosphide nanoparticles for high-selectivity ammonia electrosynthesis

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Rare Metals 2024年第11期43卷 5792-5801页

作者： Yi-Meng Cai Yang-Hua Li Yi Xiao Quentin Meyer Qian Sun Wan-Jing Lai Shu-Wen Zhao Jun Li Lin-Jie Zhang Han Wang Zhang Lin Jun Luo Li-Li Han School of Materials Science and Engineering Institute for New Energy Materials and Low-Carbon TechnologiesTianjin University of TechnologyTianjin 300384China State Key Laboratory of Structural Chemistry Fujian Institute of Research on the Structure of MatterChinese Academy of SciencesFuzhou 350002China School of Chemistry The University of New South WalesSydneyNSW 2052Australia School of Metallurgy and Environment Central South UniversityChangsha 410083China Chinese National Engineering Research Center for Control&Treatment of Heavy Metal Pollution Changsha 410083China ShenSi Lab Shenzhen Institute for Advanced StudyUniversity of Electronic Science and Technology of ChinaShenzhen 518110China

Electrochemical nitrate reduction to NH_(3)holds a great promise for N-upcycling in nature,while its sluggish reaction kinetics involved in both the stepwise deoxygenation and hydrogenation processes necessitates the development of bespoke catalysts with multi-site ***,we report a hybrid catalyst composed of rare-earth(RE)yttrium(Y)single atoms and copper phosphide(Cu_(3)P)nanoparticles loaded on N,P-doped carbon(Y_(SA)-Cu_(3)P/CNP)through a chelating and pyrolysis *** to a synergistic contribution of Y single atoms and Cu_(3)P nanoparticles,Y_(SA)-Cu_(3)P/CNP achieves an impressive NH_(3)Faradaic efficiency(FE)of 92%at-0.5V(***)and the highest NH_(3)yield rate of11.4 mg·h^(-1)·cm^(-2)at-0.6 V(***)in an alkaline media,which surpass most of the reported *** intricate reaction pathway has been explored by online differential electrochemical mass spectrometry(DEMS),and the synergistic effect between Y single atoms and Cu_(3)P nanoparticles has been studied by in situ synchrotron X-ray absorption ***,density-functional theory(DFT)calculations unveil that the high-efficiency nitrate reduction on Y_(SA)-Cu_(3)P/CNP is attributed to a reduced energy barrier of the rate-determining deoxygenation step coupled with the enhanced stabilization of active hydrogen favorable for the hydrogenation steps,thereby boosting the overall reaction *** addition,a prototype Zn-nitrate battery utilizing Y_(SA)-Cu_(3)P/CNP as the cathode is *** work not only elucidates the mechanism behind the enhanced catalytic performance but also paves the way for the future development of highefficiency electrocatalysts through dual-site engineering.

关键词： Rare-earth single atom Cu_(3)P nanoparticle Synergistic electrocatalysis Nitrate reduction reaction Zn-nitrate battery

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Mean policy-based proximal policy optimization for maneuvering decision in multi-UAV air combat

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Neural Computing and Applications 2024年第31期36卷 19667-19690页

作者： Zheng, Yifan Xin, Bin He, Bin Ding, Yulong Department of Control Science and Engineering Tongji University Shanghai China Frontiers Science Center for Intelligent Autonomous Systems Ministry of Education Shanghai China School of Automation Beijing Institute of Technology Beijing China National Key Lab of Autonomous Intelligent Unmanned Systems Beijing China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology Beijing China

Autonomous maneuvering decision-making is a crucial technology for Unmanned Aerial Vehicles (UAVs) to take the air domination in modern unmanned warfare. With the advantage of balancing exploration and exploitation, as well as the immediacy of end-to-end output by combining with deep neural network, multi-agent reinforcement learning (MARL) has made remarkable achievements in multi-UAV autonomous air combat maneuvering decision-making (MUAAMD). However, the implementation of effective cooperative policy learning remains a challenging issue for MARL methods with centralized training decentralized execution (CTDE) paradigm. This paper proposes a MARL-based method to improve the performance of cooperation in MUAAMD. Firstly, considering the constraints of dynamic and limited perception for UAVs in the realistic air combat scenario, the MUAAMD problem is formulated based on partially observable Markov game (POMG) model. Secondly, a novel efficient MARL algorithm named the mean policy-based proximal policy optimization (MP3O) is introduced. Specifically, a joint policy optimization mechanism is constructed by estimating the policies of neighboring agents in group as a mean-field approximation while training, which enables both centralized evaluation and improvement of cooperative policy under the CTDE paradigm. Thirdly, by combining with three improvement techniques, a cooperative decision-making framework for MUAAMD based on MP3O is proposed. Empirically, results of simulations and comparative experiments validate the effectiveness of proposed method in promoting cooperative policy learning in resolving MUAAMD problem. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Decision making

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CoSe_(2)nanowire array enabled highly efficient electrocatalytic reduction of nitrate for ammonia synthesis

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Chinese Chemical Letters 2024年第11期35卷 481-485页

作者： Ting Xie Xun He Lang He Kai Dong Yongchao Yao Zhengwei Cai Xuwei Liu Xiaoya Fan Tengyue Li Dongdong Zheng Shengjun Sun Luming Li Wei Chu Asmaa Farouk Mohamed S.Hamdy Chenggang Xu Qingquan Kong Xuping Sun College of Chemistry and Materials Science Sichuan Normal UniversityChengdu 610068China Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengdu 610054China College of Chemistry Chemical Engineering and Materials ScienceShandong Normal UniversityJi'nan 250014China Institute for Advanced Study Chengdu UniversityChengdu 610106China Department of Chemistry College of ScienceKing Khalid UniversityP.O.Box 900461413 AbhaSaudi Arabia

The electrocatalytic reduction of nitrate(NO_(3)^(-))not only facilitates the environmentally sustainable production of ammonia(NH_(3))but also purifies water by removing NO_(3)^(-),thereby transforming waste into valuable *** process of converting NO_(3)^(-)to NH_(3)is complex,involving eight electron transfers and multiple intermediates,making the choice of electrocatalyst *** this study,we report a cobalt selenide(Co Se_(2))nanowire array on carbon cloth(CoSe_(2)/CC)as an effective electrocatalyst for the NO_(3)^(-)to NH_(3)*** an alkaline medium with 0.1 mol/L NO_(3)^(-),CoSe_(2)/CC demonstrates exceptional NH_(3)Faradaic efficiency of 97.6%and a high NH_(3)yield of 517.7μmol h^(-1)cm^(-2)at-0.6 V versus the reversible hydrogen ***,insights into the reaction mechanism of CoSe_(2)in the electrocatalytic NO_(3)^(-)reduction are elucidated through density functional theory calculations.

关键词： CoSe_(2) Electrocatalytic nitrate reduction NH_(3)synthesis Electrocatalysis Density functional theory calculation

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Adaptive Configuration for Heterogeneous Participants in Decentralized Federated Learning 42

Adaptive Configuration for Heterogeneous Participants in Dec...

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42nd IEEE International Conference on Computer Communications, INFOCOM 2023

作者： Liao, Yunming Xu, Yang Xu, Hongli Wang, Lun Qian, Chen University of Science and Technology of China School of Computer Science and Technology China University of Science and Technology of China Suzhou Institute for Advanced Study China University of California Jack Baskin School of Engineering Department of Computer Science and Engineering Santa Cru United States

ISBN: (纸本)9798350334142

Data generated at the network edge can be processed locally by leveraging the paradigm of edge computing (EC). Aided by EC, decentralized federated learning (DFL), which overcomes the single-point-of-failure problem in the parameter server (PS) based federated learning, is becoming a practical and popular approach for machine learning over distributed data. However, DFL faces two critical challenges, i.e., system heterogeneity and statistical heterogeneity introduced by edge devices. To ensure fast convergence with the existence of slow edge devices, we present an efficient DFL method, termed FedHP, which integrates adaptive control of both local updating frequency and network topology to better support the heterogeneous participants. We establish a theoretical relationship between local updating frequency and network topology regarding model training performance and obtain a convergence upper bound. Upon this, we propose an optimization algorithm, that adaptively determines local updating frequencies and constructs the network topology, so as to speed up convergence and improve the model accuracy. Evaluation results show that the proposed FedHP can reduce the completion time by about 51% and improve model accuracy by at least 5% in heterogeneous scenarios, compared with the baselines. © 2023 IEEE.

关键词： Edge computing

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Sharing and Collaborating When Teaching Automatic control: An Experience-Based Needs Analysis 32

Sharing and Collaborating When Teaching Automatic Control: A...

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32nd Mediterranean Conference on control and Automation, MED 2024

作者： Knorn, Steffi Garone, Anja Varagnolo, Damiano Garone, Emanuele Technische Universität Department of Control Berlin Germany Brussels Institute for Advanced Studies Belgium Norwegian University of Science and Technology Department of Engineering Cybernetics Norway University of Padova Department of Information Engineering Italy Free University of Brussels Department of Automation and Systems Analysis Belgium

ISBN: (纸本)9798350395440

We discuss two specific issues that affected the workflows in our career as automatic control teachers and that are related to how teachers may establish teaching-oriented collaborations with colleagues from the same or different institutions. The first issue we identify is the systematic difficulty that one encounters when wanting to exchange instructional material with colleagues, while the second is the complexity of establishing students exchange programs across different institutions and nations. We discuss the nature and structure of the two problems, discuss why and how they are connected, and draw practical examples of how these problems may affect workflows. We then present a strategy that aims at solving these issues based on the introduction of an opportune indexing of instructional material in terms of contents and complexity of such contents, and how this information may be graphically displayed so to ease human and machine interpretability. We further discuss how this approach was used on a smaller scale to ease collaborations among close colleagues, and how it may be extended and adopted on a larger scale. © 2024 IEEE.

关键词： Process control

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Revealing the role of electrode potential micro-environments in single Mn atoms for carbon dioxide and oxygen electrolysis

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Nano Research 2024年第9期17卷 7957-7966页

作者： Pengcheng Liu anyi Liu Kaili Wang Shuai Shi Mengmeng Jin Jingxiu Liu Tao Qin Qian Liu Xijun Liu Jia He Tianjin Key Laboratory of Organic Solar Cells and Photochemical Conversion School of Chemistry and Chemical EngineeringInstitute of New-Energy Materials and Low-Carbon TechnologiesSchool of Materials Science and EngineeringTianjin University of TechnologyTianjin 300384China School of Chemistry and Chemical Engineering and Environmental Engineering Weifang UniversityWeifang 261061China Department of Electrical Engineering and Automation Luoyang Institute of Science and TechnologyLuoyang 471023China Institute for Advanced Study Chengdu UniversityChengdu 610106China State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures Guangxi Key Laboratory of Processing for Non-ferrous Metals and Featured MaterialsSchool of ResourcesEnvironment and MaterialsGuangxi UniversityNanning 530004China

Elucidation the relationship between electrode potentials and heterogeneous electrocatalytic reactions has attracted widespread *** we construct the well-defined Mn single-atom(MnSA)catalyst with four N-coordination through a simple thermal pyrolysis preparation method to investigate the electrode potential micro-environments effect on carbon dioxide reduction reactions(CO_(2)RR)and oxygen reduction reactions(ORR).MnSA catalysts generate higher CO production Faradaic efficiency of exceeding 90%at-0.9 V for CO_(2)RR and higher H_(2)O_(2)yield from 0.1 to 0.6 V with excellent ORR *** functional theory(DFT)calculations based on constant potential models were performed to study the mechanism of MnSA on CO_(2)*** thermodynamic energy barrier of CO_(2)RR is lowest at-0.9 V *** hydrogen electrode(RHE).Similar DFT calculations on the H_(2)O_(2)yield of ORR showed that the H_(2)O_(2)yield at 0.2 V was *** study provides a reasonable explanation for the role of electrode potential micro-environments.

关键词： electrode potential micro-environments Mn single-atom catalyst carbon dioxide reduction reaction oxygen reduction reaction constant potential models

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Human-machine Hierarchical Networks for Decision Making under Byzantine Attacks 57

Human-machine Hierarchical Networks for Decision Making unde...

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57th Annual Conference on Information sciences and Systems, CISS 2023

作者： Quan, Chen Geng, Baocheng Han, Yunghsiang S. Varshney, Pramod K. Syracuse University Department of Electrical Engineering and Computer Science Syracuse United States University of Alabama at Birmingham Department of Computer Science Alabama United States Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Shenzhen China

ISBN: (纸本)9781665451819

This paper proposes a belief-updating scheme in a human-machine collaborative decision-making network to com-bat Byzantine attacks. A hierarchical framework is used to realize the network where local decisions from physical sensors act as reference decisions to improve the quality of human sensor decisions. During the decision-making process, the belief that each physical sensor is malicious is updated. The case when humans have side information available is investigated, and its impact is analyzed. Simulation results substantiate that the proposed scheme can significantly improve the quality of human sensor decisions, even when most physical sensors are malicious. Moreover, the performance of the proposed method does not necessarily depend on the knowledge of the actual fraction of malicious physical sensors. Consequently, the proposed scheme can effectively defend against Byzantine attacks and improve the quality of human sensors' decisions so that the performance of the human-machine collaborative system is enhanced. © 2023 IEEE.

关键词： Decision making

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