A5100717659- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Neural Networks and Applications
- Supercapacitor Materials and Fabrication
- Semiconductor materials and devices
- Machine Learning and ELM
- Advanced Battery Technologies Research
- Advanced Memory and Neural Computing
- Advanced Neural Network Applications
- Thin-Film Transistor Technologies
- Advanced battery technologies research
- Ferroelectric and Negative Capacitance Devices
- Advancements in Semiconductor Devices and Circuit Design
- Extraction and Separation Processes
- Evolutionary Algorithms and Applications
- Numerical Methods and Algorithms
- ZnO doping and properties
- Parallel Computing and Optimization Techniques
- Stochastic Gradient Optimization Techniques
- Text and Document Classification Technologies
- Fault Detection and Control Systems
- Machine Learning and Data Classification
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
- Model Reduction and Neural Networks
Northeastern University
2021-2025
Shanghai Jiao Tong University
2021-2025
Huazhong Agricultural University
2025
Shandong Jianzhu University
2025
University of North Carolina Health Care
2024
China Jiliang University
2024
Changchun University of Technology
2023-2024
University of North Carolina at Chapel Hill
2024
State Grid Corporation of China (China)
2024
University of Oxford
2021-2023
The nucleation rate plays a critical role in the synthesis of Prussian blue analogs. Rapid precipitation may lead to large number vacancies and amount interstitial water material, resulting poor electrochemical performance batteries. Hence, sodium citrate is used compete with [Fe(CN)6]4- slow down coordination rates Ni2+ Mn2+ ions ferrous cyanide ions. feasibility experiment also confirmed by theoretical analysis. Benefiting from stable crystal structure removal water, as-prepared...
To attain both high energy density and power in sodium-ion (Na+ ) batteries, the reaction kinetics structural stability of anodes should be improved by materials optimization. In this work, few-layered molybdenum sulfide selenide (MoSSe) consisting a mixture 1T 2H phases is designed to provide ionic/electrical conductivities, low Na+ diffusion barrier, stable storage. Reduced graphene oxide (rGO) used as conductive matrix form 3D electron transfer paths. The resulting MoSSe@rGO anode...
Prussian blue and its analogs are regarded as the promising cathodes for sodium-ion batteries (SIBs). Recently, various special structures constructed to improve electrochemical properties of these materials. In this study, a novel architecture with large cavity multilayer shells is investigated cathode material SIBs. Because hollow structure can relieve volume expansion core-shell heterostructure optimize interfacial properties, complex materials exhibited highly initial capacity 123 mA h...
Low cycling stability and poor rate performance are two of the distinctive drawbacks most electrode materials for sodium-ion batteries (SIBs). Here, inspired by natural flower structures, we take advantage three-dimensional (3D) hierarchical flower-like stable microstructures formed two-dimensional (2D) nanosheets to solve these problems. By precise control hydrothermal synthesis conditions, a novel architecture consisting 2D Na2Ti3O7 (Na-TNSs) has been successfully synthesized. The...
Abstract Owing to the high specific capacities, electrochemical activity, and various electronic properties, transition metal selenides are considered as promising anodes for lithium‐ sodium‐ion storage. However, poor conductivity huge volume expansion during cycling still responsible their restricted performance. Herein, CoSe hollow polyhedron anchoring onto graphene (CoSe/G) is synthesized by self‐assembly subsequent selenization. In CoSe/G composites, nanoparticles, obtained in situ...
Large language models have recently achieved state of the art performance across a wide variety natural tasks. Meanwhile, size these and their latency significantly increased, which makes usage costly, raises an interesting question: do need to be large? We study this question through lens model compression. present generic, structured pruning approach by parameterizing each weight matrix using its low-rank factorization, adaptively removing rank-1 components during training. On modeling...
Metal sulfides show promise for use in alkali-ion batteries because of their high theoretical capacities. However, poor cycling stability and rate performance hinder further development. To avoid these issues, In
A geometric analysis of the cubic A2BX6 structure commonly formed by metal halides is presented. Using "hard-sphere" approximation, where ions are represented spheres a fixed radius, we derive four limiting models that each constrain distances between constituent in different ways. We compare lattice parameters predicted these with experimental data from Inorganic Crystal Structure Database (ICSD). For fluorides, maintenance AX bond length at sum and X radii gives best approximation...
The challenges of improving electrical conductivities and enhanced rapid dynamics are active research areas in the modification Prussian blue (PB) analogues (PBAs), which used as excellent cathodes sodium-ion batteries (SIBs). Herein, terephthalic acid etched stepwise hollow bulky PB cubes intimate contact mesoporous carbon (CMK-3) particles with adhered minisize can together build continuous conductive networks. composite (donated N-PB@CMK) has high conductivity, low resistance, ultrahigh...
The design of a Building Integrated Photovoltaic (BIPV) system involves considering various factors such as geophysical, technical, economic, and environmental aspects throughout its lifecycle. Although many studies have proposed approaches to support the BIPV process, there is need for comprehensive framework that integrates climate, product, regulation, economic data create optimal solutions individual building projects. This study proposes solution provides all stakeholders including...
Prussian blue (PB) and its analogues are considered as promising cathode materials for sodium-ion batteries (SIBs) owing to their low cost high capacity. However, it is still a huge challenge avoid obvious capacity decay during cycling due the structural collapse. Herein, we design method replace parts of Fe ion sites in PB with Ni ions prepare fluffy-like nickel (PB-Ni) by cationic solution immersion, which improves stability sodium storage. The content PB-Ni explored regulating soaking...
In this work, we demonstrate indium–gallium–zinc oxide (IGZO) transistors fabricated on an 8-in wafer with high uniformity, steep subthreshold slope, and reliability under positive bias temperature instability (PBTI) stress. The impact of channel compositions, gate dielectrics, post-treatment conditions PBTI degradation is systematically characterized analyzed. negative threshold voltage ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML"...
In real-world data, long-tailed data distribution is common, making it challenging for models trained on empirical risk minimisation to learn and classify tail classes effectively. While many studies have sought improve long recognition by altering the in feature space adjusting model decision boundaries, research synergy corrective approach among various methods limited. Our study delves into three long-tail techniques: Supervised Contrastive Learning (SCL), Rare-Class Sample Generator...
Aiming to address the issue that existing multi-view stereo reconstruction methods have insufficient adaptability repetitive and weak textures in images, this paper proposes a three-dimensional (3D) algorithm based on Feature Enhancement Weight Optimization MVSNet (Abbreviated as FEWO-MVSNet). To obtain accurate detailed global local features, we first develop an adaptive feature enhancement approach multi-scale information from images. Second, introduce attention mechanism spatial capture...