A5102937396- Recycling and utilization of industrial and municipal waste in materials production
- Magnesium Oxide Properties and Applications
- Data Management and Algorithms
- Automated Road and Building Extraction
- Traffic Prediction and Management Techniques
- Electromagnetic wave absorption materials
- Materials Engineering and Processing
- EEG and Brain-Computer Interfaces
- Image and Object Detection Techniques
- Dielectric materials and actuators
- Stroke Rehabilitation and Recovery
- Microwave Dielectric Ceramics Synthesis
- Magnetic properties of thin films
- Image Processing Techniques and Applications
- Physics of Superconductivity and Magnetism
- Advanced ceramic materials synthesis
- Network Security and Intrusion Detection
- Bayesian Modeling and Causal Inference
- Quantum and electron transport phenomena
- Industrial Vision Systems and Defect Detection
- Maritime Navigation and Safety
Hefei University of Technology
2024
Power Grid Corporation (India)
2024
Beihang University
2015-2023
Institute of Physics
2015
Chinese Academy of Sciences
2015
State Key Laboratory of Magnetism
2015
Anomalous Hall effect at room temperature in perpendicular balance with a core structure of [Pt/Co]4/NiO/[Co/Pt]4 has been tuned by functional CoO layers, where [Pt/Co]4 multilayers exhibit magnetic anisotropy. A giant resistance ratio up to 69 900% and saturation (RSP) 2590 mΩ were obtained CoO/[Pt/Co]4/NiO/[Co/Pt]4/CoO system, which is 302% 146% larger than that the without respectively. Transmission electron microscopy shows highly textured [Co/Pt]4 oxide layers local epitaxial relations,...
To improve the accuracy and portability of fault location in secondary circuits smart substations, a method for based on graph neural networks is proposed. First, analysis substations conducted, database model constructed, revealing connection relationships between devices. Then, problem defined as classification problem, generation proposed representation information circuits. Finally, performance optimization binary cross-entropy to achieve accurate substation Using 220 kV reference,...
Learning, interpreting, and predicting from complex high-dimensional spatio-temporal data is a natural ability of humans other intelligent agents, one the most important difficult challenges AI. Although objects may present different observed phenomena under situations, their causal mechanism generation rules are stable invariant. Different existing studies that focus on dynamic correlation, we explore latent structure descriptors in dimension at microscopic level, thus revealing principle...