A5102016373- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Supercapacitor Materials and Fabrication
- Advanced DC-DC Converters
- Graphene research and applications
- HVDC Systems and Fault Protection
- Analog and Mixed-Signal Circuit Design
- Advanced battery technologies research
- Neural Networks and Reservoir Computing
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Semiconductor materials and devices
- Retinal Imaging and Analysis
- EEG and Brain-Computer Interfaces
- Multilevel Inverters and Converters
- Bacteriophages and microbial interactions
- Electromagnetic wave absorption materials
- Advanced Antenna and Metasurface Technologies
- Metamaterials and Metasurfaces Applications
- Microgrid Control and Optimization
- Real-time simulation and control systems
- Wind Turbine Control Systems
- Infrastructure Maintenance and Monitoring
- Retinal Diseases and Treatments
- Breast Lesions and Carcinomas
University of Science and Technology of China
2022-2025
Lanzhou Jiaotong University
2022-2023
State Ethnic Affairs Commission
2023
Nanjing Forestry University
2023
Beijing University of Chinese Medicine
2023
Ningbo University
2023
Beijing Hospital of Traditional Chinese Medicine
2023
Capital Medical University
2023
BMW Group (Germany)
2023
Beijing University of Technology
2023
Abstract The development and optimization of high‐performance anode materials for alkali metal ion batteries is crucial the green energy evolution. Atomic scale computational modeling such as density functional theory molecular dynamics allows efficient adventurous design from nanoscale, have emerged invaluable tools. Computational cannot only provide fundamental insight, but also present input multiscale models experimental synthesis, often where quantities readily be obtained by other...
Lithium (Li) metal is an excellent anode of Li ion batteries because its high theoretical capacity and the low redox potential compared to other anodes. However, uncontrollable growth dendrites still incurs serious safety issues poor electrochemical performances, leading limited practical application. An oxygen boron codoped honeycomb carbon skeleton (OBHcCs) reported a stable metal-based realized. It can be coated on copper foil substrate used as current collector for dendrite-free anode....
As for hybrid supercapacitors, it is important to enhance the long cycling performance and high specific capacitance. In this paper, cobalt vanadate (Co2V2O7) hexagonal nanosheets on nickel foam are manufactured by a facile hydrothermal method then transformed into numerous smaller size interconnected hierarchical without any shape change via electrochemical reconstruction. Benefiting from favorable architecture of reconstruction, Co2V2O7 nanosheet electrode exhibits remarkable with 272%...
Granulomatous mastitis (GM) is a chronic inflammatory breast disease. In recent years, the role of Corynebacterium in GM onset has received more and attention. This study aims to detect dominant bacterium patients analyze association between clinical characteristics infectious factors.In this study, 88 samples from 44 patients, six acute lactation (ALM) 25 non-inflammatory disease (NIB) were divided into pus group, tissue an ALM NIB group; then, 16S ribosomal DNA sequencing was used explore...
An amorphous ZnP<sub>2</sub>/C composite with P–C bonds achieves ultralong cycling stability and high rate performance.
Novel 3D-ultrathin CoS2 nanoflakes wrapped by reduced graphene oxide (CoS2/RGO) were successfully prepared via a facile method. The morphology and structure of the materials characterized X-ray diffraction, scanning electron microscopy, transmission Raman spectroscopy, photoelectron spectroscopy. microwave absorption properties CoS2/RGO composites also investigated. exhibited optimal at loading 20 wt.% in paraffin matrix, with reflection loss (RL) value −36.5 dB 12.1 GHz thickness 2.0...
Abstract Motivation Synthetic lethality (SL) is a type of genetic interaction in which the simultaneous inactivation two genes leads to cell death, while single gene does not affect viability. It can effectively expand range anti-cancer therapeutic targets. SL interactions are identified mainly by experimental screening and computational prediction. Recent machine-learning methods mostly learn representation each individually, ignoring pairwise between genes. In addition, mechanisms SL, key...
Background: Despite the rising incidence rate of granulomatous lobular mastitis (GLM), uncertainties persist about its etiologic and predisposing factors to guide clinical treatment early prevention. The objective this study is explore for GLM. Patients methods: This case-control was conducted from 2018 2021 at Beijing Hospital Traditional Chinese Medicine, Capital Medical University. with GLM (cases) were matched healthy examinees (controls) in a 1:1 ratio according gender living area. We...
The solvation effect enables the amorphous P<sub>4</sub>SSe<sub>2</sub>compound to deliver excellent electrochemical performance as an advanced anode for sodium-ion batteries in ether-based electrolytes.
Purpose To develop artificial intelligence (AI)-based deep learning (DL) models for automatically detecting the ischemia type and non-perfusion area (NPA) from color fundus photographs (CFPs) of patients with branch retinal vein occlusion (BRVO). Methods This was a retrospective analysis 274 CFPs diagnosed BRVO. All DL were trained using convolutional neural network (CNN) based on 45 degree covering fovea optic disk. We first algorithm to identify BRVO or without necessity photocoagulation...
Abstract Crack detection of the concrete bridge is an essential index for safety assessment structure. It more important to check whole structure than accuracy in damage assessment. However, traditional deep learning model method cannot completely detect crack structure, which challenges image‐based detection. For this reason, we propose classification (DBCC)‐Net as a classification‐based network. By pruning Yolox, regression problem target converted binary avoid network performance...
AlP and SiP2 are promising alloy-type anode materials for lithium-ion batteries (LIBs), owing to their good conductivity, high storage capacity appropriate working potential. However, they still suffer from rapid decay due the huge volume expansion resultant pulverization. Carbon modification can not only relieve changes but also provide a conducting matrix active material. Moreover, charge transfer of multi-phase composite be accelerated its electric field at heterointerface. Hence,...
MoP is a promising anode material choice for alkali ion storage ascribed to its superior electrochemical performance. However, severe volume expansion and poor stability limited output Here, well-dispersed nanoparticles are confined in carbon nanofiber skeleton by facile electrospinning method, further introduction of titania enhances the interfacial reaction structure stability. As result, encapsulated MoP/TiO2 composite exhibited 150 mAh g−1 at 1 A 4000 cycles, without obvious capacity...
FeCoNi@hard carbon (HC) microwave absorbers were prepared from FeCoNi nanosheets@polyimide (PI) using suitable pyrolysis temperatures and showed excellent absorption performances with enhanced impedance matching.
Abstract Ni‐rich materials are promising Li‐ion battery cathodes due to their high capacity but still suffer from electrolyte corrosions and inferior thermal stability, limiting the lithium storage capability. To improve both, performances LiNi 0.815 Co 0.15 Al 0.035 O 2 (LNCAO)/reduced graphene oxide (RGO) composites synthesized by chemical lithiation of commercial Ni (OH) precursors with LiOH ⋅ H O, followed simply wet coating RGO. The effects such RGO modifications on stability achieved...
H 2 O–H–Na co-intercalation V-base material exhibited an excellent fast charging and Zn 2+ storage performance with the reversible phase transformed.