A5101529536- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Advanced battery technologies research
- Advanced Memory and Neural Computing
- Supercapacitor Materials and Fabrication
- Advanced Surface Polishing Techniques
- Ferroelectric and Negative Capacitance Devices
- Advanced Measurement and Metrology Techniques
- Neuroscience and Neural Engineering
- Target Tracking and Data Fusion in Sensor Networks
- Robotic Mechanisms and Dynamics
- Petroleum Processing and Analysis
- Image and Object Detection Techniques
- Neural dynamics and brain function
- Geological Studies and Exploration
- Engineering and Test Systems
- Spam and Phishing Detection
- Advanced machining processes and optimization
- Selenium in Biological Systems
- Iterative Learning Control Systems
- Machine Learning in Bioinformatics
- Engineering and Information Technology
- Infrared Target Detection Methodologies
- Rabbits: Nutrition, Reproduction, Health
- Advancements in Solid Oxide Fuel Cells
Nanjing University
2025
Wuhan Polytechnic University
2024
Nanjing University of Science and Technology
2024
Zhejiang University of Science and Technology
2023
Beijing Institute of Fashion Technology
2022
Chongqing University
2022
Sun Yat-sen University
2022
Huazhong University of Science and Technology
2016-2021
Southwest University
2021
China University of Petroleum, Beijing
2017
Atomic interfacial electric fields hold great potential for boosting ionic and charge transfer accelerating electrochemical reaction kinetics. Here, built-in within the heterostructure are created by electrostatic assembly of unilamellar titano-niobate/graphene (reduced graphene oxide) nanosheets as building blocks. Scanning Kelvin probe microscopy confirms existence detecting unbalanced surface disparate in heterostructure, which facilitates ion electron transfer, thus enabling an excellent...
Event cameras are asynchronous and neuromorphically inspired visual sensors, which have shown great potential in object tracking because they can easily detect moving objects. Since event output discrete events, inherently suitable to coordinate with Spiking Neural Network (SNN), has a unique event-driven computation characteristic energy-efficient computing. In this paper, we tackle the problem of event-based by novel architecture discriminatively trained SNN, called Convolutional Tracking...
The Ni-N(His) coordination bond, formed between the nickel ion and histidine residues, is essential for recombinant protein purification, especially in Ni-NTA-based systems selectively binding polyhistidine-tagged (Histag) proteins. While previous studies have explored its bond strength a synthetic Ni-NTA-Histag system, influence of surrounding structure remains less understood. In this study, we used atomic force microscopy-based single-molecule spectroscopy (AFM-SMFS) to quantify...
Abstract As a promising energy storage technology, Li−CO 2 /O battery with ultrahigh discharge capacities have received much attention, reaching three times that of Li−O batteries. Herein, using an excellent catalyst, NiCo O 4 designed as 3D dandelion‐like hollow nanostructure, is systematically investigated to understand how the reaction mechanisms are affected by CO . With stabilization, batteries could achieve specific capacity high 22000 mAh/g and long‐term cycling performance up 140...
A composite cathode including N-rGO with homogeneously dispersed perovskite La0.8Sr0.2Co0.8Fe0.2O3 on the surface is studied. Li-O2 batteries LSCF@N-rGO show better performance than those LSCF-SP or cathode. EIS and morphology analysis indicate that LSCF beneficial to remold shape of Li2O2 catalyze decomposition Li2O2.
Designing catalysts with desirable oxygen evolution reaction (OER) performance under pH-universal conditions is of great significance to promote the development hydrogen production. Herein, we successfully synthesized a crystalline–amorphous IrOx supported on perovskite oxide nanotubes obtain IrOx@La0.6Ca0.4Fe0.8Ni0.2O3 superior OER in whole pH media. The overpotential catalyst media 14, 7.2, and 1 has been demonstrated be 120, 400, 143 mV, respectively, no significant element dissolution as...
Abstract Developing high‐efficiency and cost‐effective bifunctional electrocatalysts toward the oxygen reduction reaction (ORR) evolution (OER) is an urgent issue for oxygen‐based electrochemical devices. Herein, interface engineering concept has been proposed to achieve high‐performance Ag–PBSC (Ag–PrBa 0.5 Sr Co 2 O 5+δ ) heterostructure nanofibers catalyst. Benefiting from significant ligand action interparticle cooperation of exsolved Ag NPs PBSC double perovskite, ORR/OER catalytic...
Event cameras, with their high dynamic range and temporal resolution, are ideally suited for object detection, especially under scenarios motion blur challenging lighting conditions. However, while most existing approaches prioritize optimizing spatiotemporal representations advanced detection backbones early aggregation functions, the crucial issue of adaptive event sampling remains largely unaddressed. Spiking Neural Networks (SNNs), which operate on an event-driven paradigm through sparse...
Ethereum smart contract and the agreements contained therein exist across a distributed, decentralized blockchain network, which controls execution of Dapps, transactions are trackable irreversible. Since amount contracts on has rapid growth, also lead to large number security vulnerabilities. However, traditional method such as static symbolic analysis requires manual in advance with high false detection rate. In this paper, we propose GVD-net model for vulnerability detection. consists...
Promoting the oxygen reduction reaction (ORR) and evolution (OER) kinetics of cathode catalysts is significant to improve discharge/charge performance Li–O2 batteries (LOBs). To develop high-performance advanced electrocatalysts, porous perovskite La0.9Mn0.6Ni0.4O3−δ (LMN) nanofibers with in situ exsolved Ni nanoparticles have been synthesized by electrospinning method, followed under a 5% H2/Ar atmosphere. The results confirm that due numerous vacancies formed on surface LMN nanofibers,...
Abstract Li‐O 2 batteries (LOBs) with an extremely high theoretical energy density have been reported to be the most promising candidates for future electric storage systems. Porous catalysts can beneficial LOBs. Herein, 3D‐ordered macroporous La 0.6 Sr 0.4 Co 0.2 Fe 0.8 O 3 perovskite oxides (3D‐LSCF) are applied as cathode in With a Brunauer‐Emmett‐Teller surface area (21.8 m g −1 ) and unique honeycomb‐like structure, 3D‐LSCF possess much higher efficiency than (LSCF) nanoparticles. The...
Abstract The design of high‐performance electrocatalysts is crucial to the capacity performance and cycle stability Li−O 2 batteries. Herein, wrinkled perovskite La 0.9 Mn 0.6 Ni 0.4 O 3− δ nanofibers (LMN NFs) are synthesized by electrospinning method as cathode catalyst for In comparison with nanoparticles traditional sol‐gel NPs), batteries LMN NFs exhibit larger specific discharge (9397 mAh g −1 ), better (100 cycles) lower voltage gap (1.111 V) at a current density 300 mA . improvement...
Catalysts with high oxygen reduction reaction (ORR) and evolution (OER) performances are crucial to the development of lithium-oxygen batteries (LOBs), which aim promote Li2O2 deposition decomposition then avoid active site passivation. Considering metallic Ag possessing good electrical conductivity excellent catalytic activity perovskite oxides exhibiting abundance, an easily tunable structure, intrinsically activity, we adopt ultraviolet light realize nanoparticles on...
Nonlinear time-varying contact state and uneven allowance distribution are factors to prevent the traditional robotic belt grinding from high-precision machining of aero-blade. For this case, a novel region-based force control (RFC) strategy with consideration regional planning is proposed achieve grinding. Ideal normal at cutter-contact (CC) points calculated based on principle curvature corresponding CC points. Then similar ideal divided into one region selected threshold. Furthermore, an...