A5043596405- Electrocatalysts for Energy Conversion
- Distributed Control Multi-Agent Systems
- Advanced battery technologies research
- CO2 Reduction Techniques and Catalysts
- Neural Networks Stability and Synchronization
- Ammonia Synthesis and Nitrogen Reduction
- Transportation Planning and Optimization
- Ionic liquids properties and applications
- Environmental and Agricultural Sciences
- Biofuel production and bioconversion
- Advanced Thermoelectric Materials and Devices
- Traffic Prediction and Management Techniques
- Building Energy and Comfort Optimization
- Perovskite Materials and Applications
- Advanced Photocatalysis Techniques
- Mathematical and Theoretical Epidemiology and Ecology Models
- Supercapacitor Materials and Fabrication
- Hybrid Renewable Energy Systems
- Microbial Metabolites in Food Biotechnology
- Hygrothermal properties of building materials
- Advancements in Battery Materials
- Advanced Memory and Neural Computing
- Caching and Content Delivery
- Aviation Industry Analysis and Trends
- Stability and Control of Uncertain Systems
Nanjing University
2020-2025
Green Chemistry
2025
Jinhua Polytechnic
2024
Ningxia University
2009-2024
Collaborative Innovation Center of Advanced Microstructures
2022
Dalian Maritime University
2017-2019
Beihang University
2018
Beijing Jiaotong University
2015
Aquatic Systems (United States)
2014
Innovation Performance (Norway)
2014
The utilization of redox-active organic species in aqueous redox flow batteries holds great promise for large-scale and sustainable energy storage. Herein, we report the low-temperature green synthesis three different phenazine derivatives investigate their performances alkaline batteries. Electrochemical characterizations reveal that ortho-substituents hydroxyl groups have significant influences on battery performances. By introducing an additional phenyl group adjacent to motif a carboxyl...
Abstract The prediction of bus arrival time is important for passengers who want to determine their departure and reduce anxiety at stops that lack timetables. random forests based on the near neighbor (RFNN) method proposed in this article predict travel time, which has been calibrated validated with real‐world data. A case study two routes conducted, RFNN compared four methods: linear regression (LR), k‐nearest neighbors (KNN), support vector machine (SVM), classic forest (RF). results...
The electrocatalytic nitrate reduction reaction (NITRR) holds great promise for purifying wastewater and producing valuable ammonia (NH
This article investigates the resilient bipartite consensus problem for continuous-time second-order multiagent systems in presence of totally bounded malicious nodes under signed digraphs. An event-based impulsive algorithm is employed, which cannot only mitigate nodes' influence on convergence normal ones but also reduce communication loads agents. A necessary and sufficient condition related to network topology established solving by using system transformation. numerical simulation...
Electrochemical conversion of CO2 into high-value-added chemicals has been considered a promising route to achieve carbon neutrality and mitigate the global greenhouse effect. However, lack highly efficient electrocatalysts limited its practical application. Herein, we propose an ultrafast green electric explosion method batch-scale prepare spherical indium (In) nanocrystals (NCs) with abundant metal defects toward high selective electrocatalytic reduction (CO2RR) HCOOH. During synthesis...
Aqueous redox flow batteries (ARFBs) exhibit great potential for large-scale energy storage, but the cross-contamination, limited ion conductivity, and high costs of ion-exchange membranes restrict wide application ARFBs. Herein, we report construction aqueous colloid (ACFBs) based on redox-active polyoxometalate (POM) electrolytes size-exclusive membrane separators. The suspensions POM clusters, such as [N(C3H7)4]4[H12(VO2)12(C6H5PO3)8]·xH2O [N(C3H7)4]4[H12(VO2)12(4-FC6H4PO3)8]·xH2O,...
Massive production of practical metal or alloy based electrocatalysts for electrocatalytic CO2 reduction reaction is usually limited by energy-extensive consumption, poor reproducibility, and weak adhesion on electrode substrates. Herein, we report the ultrafast thermal shock synthesis porosity engineering free-standing Cu-Bi bimetallic nanofoam with 3D hierarchical porous structure easily adjustable compositions. During process, rapid heating cooling steps in several seconds result strong...
The emission of NH3 has been reported to pose a serious threat both human health and the environment. To efficiently eliminate NH3, catalysts for selective catalytic oxidation (NH3–SCO) have intensively studied. Fe2O3-based were found exhibit superior activity; however, low N2 selectivity made it less attractive in practical applications. In this work, aimed at improving on catalysts, simple SiO2 doping strategy was proposed. Although activity showed almost no change Fe2O3 after doping,...
Abstract The electrocatalytic coupling of the nitrate reduction reaction (NO 3 − RR) and hydrazine oxidation (HzOR), denoted as NO RR||HzOR, not only holds promise for synthesis high‐value‐added products (such NH ) but also facilitates bidirectional nitrogen neutralization. Here, sponge‐like porous nitrogen‐doped carbon encapsulated Cu nanoparticles electrocatalysts is presented electrochemical RR||HzOR. Substituting traditional oxygen evolution (OER) with HzOR anode notably accelerates...
Natural redox-active anthraquinone derivatives possess promising attributes for applications in aqueous organic redox flow batteries (AORFBs) due to their environmental friendliness and abundant sources. However, limited solubility electrochemical stability have posed significant challenges practical utilization. Herein, inspired by click chemistry, we report the synthesis of an artificial α-amino acid derived from cysteine-functionalized natural aloe-emodin (namely Cys-AE), which exhibits...
Flash Joule heating (FJH) method is an emerging and powerful technique that has exhibited great potential in various domains. Herein, we successfully prepared flash graphene (FG)-supported Bi nanoparticles (Bi-NPs/FG) via the ultrafast ecofriendly FJH less than 200 ms for first time. Benefited from synergistic effect of highly conductive FG active nanocrystals, Bi-NPs/FG hybrid shows a selective CO2 electroreduction with ultrahigh Faradaic efficiency 93.8% toward C1 product (i.e., formate)....
Organic anodes have emerged as a promising energy storage medium in proton ion batteries (PrIBs) due to their ability reversibly accommodate non-metallic ions. Nevertheless, the currently available organic electrodes often encounter dissolution issues, leading decrease long-cycle stability. In addition, inherent potential of anode is generally relatively high, resulting low cell voltage assembled PrIBs (<1.0 V). To address these challenges, novel long-period stable, redox biphenylzine...
Abstract Lithium‐sulfur (Li‐S) batteries, with their high theoretical energy density and cost‐effectiveness, have become one of the most promising next‐generation storage devices. However, they still face challenges such as “shuttle effect” caused by dissolution polysulfide intermediates slow sulfur conversion kinetics. In this study, based on Co 7 Fe 3 alloy catalyst, additional metal is introduced to form a catalyst heterostructure through simple heat treatment process. This incorporated...
The transport of full containers and repositioning empty are essential for the operation a container logistic enterprise. In large inland region, railway road transportation take their own advantages in terms efficiency costs. combination two modes creates larger possibility enterprise to provide efficient service reduce Thus, this paper aims optimize intermodal containers. Different from cost minimum model, an integer programming model is proposed based on revenue management, making more...