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Atomically precise nickel-sulfur clusters for efficient electrochemical 2,5-hydroxymethylfurfural oxidation

Nano Research 2025年第1期18卷 140-148页

作者： Fen Wang Lu-Yu Liu Sha-Sha Cui Ting-Ting Li Xiao-meng Yang Zhijuan Liu Yanyong Wang Henan Key Laboratory of Crystalline Molecular Functional Materials Henan International Joint Laboratory of Tumor Theranostical Cluster MaterialsGreen Catalysis Centerand College of ChemistryZhengzhou UniversityZhengzhou 450001China State Key Laboratory of Chem/Bio-sensing and Chemometrics College of Chemistry and Chemical EngineeringHunan UniversityChangsha 410082China

Nickel sulfide exhibits excellent catalytic activity in the electrochemical 2,5-hydroxymethylfurfural oxidation reaction(HMFOR).However,due to the polydispersity of nanoparticles,it is difficult to establish a clear structure-activity relationship at the atomic *** this work,we have successfully synthesized atomically precise Ni_(6)(PET)_(12)and Ni_(4)(PET)_(8)clusters(PET:2-phenylethanethiol)for ***^(2+)and S_(2)-with atomic ratio of 1:2 was mainly existed in Ni_(6)(PET)_(12)and Ni_(4)(PET)_(8)to form Ni-S *** electrochemical test results have suggested both Ni_(6)(PET)_(12)and Ni_(4)(PET)_(8)displayed outstanding electrocatalytic ability for *** Ni_(6)(PET)_(12)exhibited better electrocatalytic ability than Ni_(4)(PET)_(8)with higher current density,lower overpotential and faster reaction *** superior electrochemical ability of Ni_(6)(PET)_(12)may be due to the enhanced adsorption towards HMF molecule with strong interaction towards hydroxyl group and furan ***,it found that the Ni^(2+)species in Ni_(6)(PET)_(12)could rapidly oxidized into Ni^(3+)species,which could spontaneously capture electron and proton from HMF for *** theoretical calculation demonstrated that the Ni_(6)(PET)_(12)process lower free energy barrier than Ni_(4)(PET)_(8)to display excellent electrocatalytic *** work is of great significance for designing efficient electrocatalysts for HMFOR.

关键词： atomically precise nickel nanoclusters 2 5-hydroxymethylfurfural electro-oxidation Ni3+species

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Metal–air batteries: A review on current status and future applications

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Progress in Natural Science:Materials International 2023年第2期33卷 151-171页

作者： Tao Li meng Huang Xue Bai Yan-xiang Wang Key Laboratory of Liquid-Solid Structural Evolution and Processing of Materials of Ministry of Education Shandong University School of Materials Science and Engineering Shandong University of Science and Technology

Metal–air batteries(MABs) have been paid much more attention owing to their greater energy density than the most advanced lithium-ion batteries(LIBs). Rechargeable MABs are considered as promising candidates for the next-generation of energy storage techniques for applications ranging from large-scale energy storage systems to electric vehicles and portable devices. However, there are still numerous scientific problems that must be overcome before their commercial application. With the aim of providing a comprehensive understanding of this new electrochemical system particularly Li–air batteries, this review paper provides an overview of the current status including corresponding strategies from the perspective of various battery components, including air cathode,metal anode and electrolyte. In addition, other promising MABs such as Zn–air, Mg–air and Al–air batteries are also introduced briefly for comparison. Finally, the applications and prospects of these four types of MABs are discussed and some perspectives for this research field are also provided.

关键词： Metal–air batteries Air cathode Metal anode Electrocatalyst Electrolyte

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A novel highly selective fluorescent chemosensor for Hg(Ⅱ) in fully aqueous media

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Chinese Chemical Letters 2007年第10期18卷 1209-1212页

作者： xiang Ming meng Man Zhou Zhu Qing xiang Guo Department of Chemistry University of Science and Technology of China Hefei 230026 China

A novel fluorescent Hg^2＋ chemosensor based on dithia-dioxa-monoaza crown ether was synthesized in four steps from inexpensive starting materials. This new sensor exhibited very strong fluorescence response to Hg^2＋... 详细信息

关键词： Hg^2+ sensor Fluorescence PET Fluorescein Selectivity

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Pro-resolving lipid mediator reduces amyloid-β42–induced gene expression in human monocyte–derived microglia

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Neural Regeneration Research 2025年第3期20卷 873-886页

作者： Ying Wang xiang Zhang Henrik Biverstål Nicolas GBazan Shuai Tan Nailin Li Makiko Ohshima Marianne Schultzberg Xiaofei Li Department of Neurobiology Care Sciences&SocietyDivision of NeurogeriatricsKarolinska InstitutetStockholmSweden Department of Neurology Neuroscience CenterThe First Hospital of Jilin UniversityChangchunJilin ProvinceChina Department of Physiology and Pharmacology Karolinska InstitutetStockholmSweden Department of Biosciences and Nutrition Karolinska InstitutetHuddingeSweden Neuroscience Center of Excellence Louisiana State UniversityNew OrleansLAUSA Department of Medicine SolnaClinical Pharmacology GroupKarolinska University HospitalStockholmSweden

Specialized pro-resolving lipid mediators including maresin 1 mediate resolution but the levels of these are reduced in Alzheimer's disease brain, suggesting that they constitute a novel target for the treatment of Alzheimer's disease to prevent/stop inflammation and combat disease pathology. Therefore, it is important to clarify whether they counteract the expression of genes and proteins induced by amyloid-β. With this objective, we analyzed the relevance of human monocyte–derived microglia for in vitro modeling of neuroinflammation and its resolution in the context of Alzheimer's disease and investigated the pro-resolving bioactivity of maresin 1 on amyloid-β42–induced Alzheimer's disease–like inflammation. Analysis of RNA-sequencing data and secreted proteins in supernatants from the monocyte-derived microglia showed that the monocyte-derived microglia resembled Alzheimer's disease–like neuroinflammation in human brain microglia after incubation with amyloid-β42. Maresin 1 restored homeostasis by down-regulating inflammatory pathway related gene expression induced by amyloid-β42 in monocyte-derived microglia, protection of maresin 1 against the effects of amyloid-β42 is mediated by a re-balancing of inflammatory transcriptional networks in which modulation of gene transcription in the nuclear factor-kappa B pathway plays a major part. We pinpointed molecular targets that are associated with both neuroinflammation in Alzheimer's disease and therapeutic targets by maresin 1. In conclusion, monocyte-derived microglia represent a relevant in vitro microglial model for studies on Alzheimer's disease-like inflammation and drug response for individual patients. Maresin 1 ameliorates amyloid-β42–induced changes in several genes of importance in Alzheimer's disease, highlighting its potential as a therapeutic target for Alzheimer's disease.

关键词： Alzheimer's disease amyloid-β maresin microglia monocyte neuroinflammation resolution RNA-sequencing specialized pro-resolving lipid mediator

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Optimal mother wavelet-based Lamb wave analyses and damage detection for composite structures

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仪器仪表学报 2007年第10期28卷 1729-1735页

作者： Li Fucai meng Guang Ye lin State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University Shanghai 200240 China School of Aerospace Mechanical ＆ Mechatronic Engineering The University of Sydney NSW 2006 Australia

With the purpose of on-line structural health monitoring,a transducer network was embedded into compos- ite structure to minimize the influence of *** intrinsic dispersion characteristic of Lamb wave makes the wavelet transform an effective signal processing method for guided *** get high precision in feature extrac- tion,an information entropy-based optimal mother wavelet selection approach was proposed,which was used to choose the most appropriate basis function for particular Lamb wave *** using the embedded sensor network and extracting time-of-flight,delamination in the composite laminate was identified and *** results demon- strate the effectiveness of the proposed methods.

关键词：拉姆波损失探测内传感器信息熵最优小波基

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Carbon-supported CeNCl as an efficient catalyst for CO_(2)cycloaddition

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Nano Research 2025年第1期18卷 157-163页

作者： Li Liu lingling Zhang xiang Chu Baokang Geng Huilin Wang Zongxiang Li Xiao Wang Shuyan Song Hongjie Zhang School of Applied Chemistry and Engineering University of Science and Technology of ChinaHefei 230026China State Key Laboratory of Rare Earth Resource Utilization Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchun 130022China Sinocare Incorporation Changsha 410221China Department of Chemistry Tsinghua UniversityBeijing 100084China

The cycloaddition reaction of CO_(2)with epoxide not only effectively reduces the concentration of CO_(2)in the atmosphere,but also has excellent industrial application value and up to 100%atom utilization,but there are difficulties in separation and recovery of traditional homogeneous catalysts,harsh reaction conditions of traditional heterogeneous catalysts,and activation of CO_(2)*** this paper,an easily synthesized heterogeneous catalyst CeNCl/C was used to catalyze the cycloaddition reaction of CO_(2)with styrene oxide,with a high yield of 92.7%,a high selectivity of 96.7%,a turnover numbers(TON)value of 349,and a good stability demonstrated in six cycle tests(equivalent to 216 h of testing).Through comprehensive studies,it was shown that CeNCl/C contains Lewis acid-base centers as active centers,which can effectively reduce the energy barrier required for ring opening of the reaction substrate,enhance the adsorption and activation of CO_(2),and promote the formation of intermediates,which led to the acquisition of excellent catalytic activity.

关键词： CO_(2)cycloaddition heterogeneous catalysis CeNCl Lewis acid/base

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Optimization of porous structures via machine learning for solar thermochemical fuel production

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Progress in Natural Science:Materials International 2024年第5期34卷 895-906页

作者： Da Xu Lei Zhao meng lin Harbin Institute of Technology Department of Mechanical and Energy Engineering Southern University of Science and Technology SUSTech Energy Institute for Carbon Neutrality Southern University of Science and Technology

Porous reactant is the key component in solar thermochemical reactions, significantly affecting the solar energy conversion and fuel production performance. Triply periodic minimal surface（TPMS） structures, with analytical expressions and predictable structure-property relationships, can facilitate the design and optimization of such structures. This work proposes a machine learning-assisted framework to optimize TPMS structures for enhanced reaction efficiency, increased fuel production,and reduced temperature gradients. To mitigate the computational cost of conventional high-throughput optimization, neural network regression models were used to for performance prediction based on input features. The training dataset was generated using a three-dimensional multiphysics model for the thermochemical reduction driven by concentrated solar energy considering fluid flow, heat and mass transfer, and chemical reacions. Both uniform and gradient structures were initially assessed by the three-dimensional model showing gradient design in c and ω were necessary for performance enhancement. Further, with our proposed optimization framework, we found that structures with parameters c1= c2= 0.5（uniform in c） and ω1= 0.2, ω2= 0.8（gradient in ω） achieved the highest relative efficiency(fchem/fchem,ref) of 1.58, a relative fuel production(Δδ/Δδref) of 7.94, and a max relative temperature gradient（dT/dy）/（dT/dy）refof 0.26. Kinetic properties,i.e., bulk diffusion and surface exchange coefficient, were also studied showing that for materilas with slow kinetics, the design space in terms of c and ω were highly limited compared to fast kinetics materials. Our framework is adaptable to diverse porous structures and operational conditions, making it a versatile tool for screening porous structures for solar thermochemical applications. This work has the potential to advance the development of efficient solar fuel production systems and scalable industrial applications in renewable energy

关键词： Regression analysis

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Distributed Cooperative Control of Battery Energy Storage Systems in DC Microgrids

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IEEE/CAA Journal of Automatica Sinica 2021年第3期8卷 606-616页

作者： Tingyang meng Zongli lin Yacov A.Shamash Charles L.Brown Department of Electrical and Computer Engineering University of VirginiaCharlottesvilleVA 22904-4743 USA Department of Electrical and Computer Engineering Stony Brook UniversityStony BrookNY 11794-2350 USA

The control of battery energy storage systems(BESSs)plays an important role in the management of *** this paper,the problem of balancing the state-ofcharge(SoC)of the networked battery units in a BESS while meeting the total charging/discharging power requirement is formulated and solved as a distributed control *** on the communication topology among the battery units are established under which a control law is designed for each battery unit to solve the control problem based on distributed average reference power estimators and distributed average unit state *** types of estimators are *** achieves asymptotic estimation and the other achieves finite time *** show that,under the proposed control laws,SoC balancing of all battery units is achieved and the total charging/discharging power of the BESS tracks the desired power.A simulation example is shown to verify the theoretical results.

关键词： Cooperative control energy storage systems microgrids multi-agent systems

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Fe、Ir掺杂MoS_(2)表面对N_(2)气敏吸附与解离反应性能提升的第一性原理研究

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原子与分子物理学报 2025年第1期42卷 13-19页

作者：肖香珍胡林峰张建伟河南科技学院新乡453003

基于第一性原理方法,采用周期性平板模型,研究了N_(2)分子在掺杂体系TM-MoS_(2)(TM=Fe、Ir)表面的吸附和解离行为.研究表明:N_(2)分子在TM-MoS_(2)(TM=Fe、Ir)表面吸附能依次为0.62和0.47 eV,而完整MoS_(2)表面的吸附能只有0.08 eV,说... 详细信息

基于第一性原理方法,采用周期性平板模型,研究了N_(2)分子在掺杂体系TM-MoS_(2)(TM=Fe、Ir)表面的吸附和解离行为.研究表明:N_(2)分子在TM-MoS_(2)(TM=Fe、Ir)表面吸附能依次为0.62和0.47 eV,而完整MoS_(2)表面的吸附能只有0.08 eV,说明掺杂之后对N_(2)表现出略好的吸附性能.差分电荷密度分析表明,N_(2)吸附后,掺杂Fe、Ir原子与两个N原子之间电荷有所增加,N-N键之间的区域电荷密度减少,N-N键的强度减弱.态密度计算结果发现,N_(2)在吸附过程中,主要是N原子的2p_(y)、2p_(z)轨道与Ir的5d_(xy)和5d_(z^(2))以及Fe的3d_(xy)和3d_(z^(2))发生杂化作用.通过分析解离活化能,N_(2)在掺杂体系TM-MoS_(2)(TM=Fe、Ir)表面解离需要活化能均较高,且远大于在相应掺杂表面的吸附能,说明N_(2)在掺杂体系TM-MoS_(2)(TM=Fe、Ir)表面解离应该表现为分子吸附或脱附.

关键词： Fe、Ir 掺杂单层MoS_(2) N_(2) 吸附与解离活化能密度泛函理论

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Weighted Co-Training for Cross-Domain Image SentimentClassification

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Journal of Computer Science & Technology 2017年第4期32卷 714-725页

作者： meng Chen lin-lin Zhang Xiaohui Yu Yang Liu School of Computer Science and Technology Shandong University Jinan 250101 China School of Information Technology York University Toronto M3J 1P3 Canada

Image sentiment classification, which aims to predict the polarities of sentiments conveyed by the images, has gained a lot of attention. Most existing methods address this problem by training a general classifier with certain visual features, ignoring the discrepancies across domains. In this paper, we propose a novel weighted co-training method for cross-domain image sentiment classification, which iteratively enlarges the labeled set by introducing new high-confidence classified samples to reduce the gap between the two domains. We train two sentiment classifiers with both the images and the corresponding textual comments separately, and set the similarity between the source domain and the target domain as the weight of a classifier. We perform extensive experiments on a real Flickr dataset to evaluate the proposed method, and the empirical study reveals that the weighted co-training method significantly outperforms some baseline solutions.

关键词： sentiment classification cross-domain weighted co-training

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