A5100783266- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Advanced battery technologies research
- Geochemistry and Geologic Mapping
- Geophysical Methods and Applications
- Infrastructure Maintenance and Monitoring
- Advanced Battery Technologies Research
- Drilling and Well Engineering
- Geological and Geochemical Analysis
- Electrocatalysts for Energy Conversion
- Rock Mechanics and Modeling
- Advanced Photocatalysis Techniques
- High-pressure geophysics and materials
- Structural Engineering and Vibration Analysis
- Topic Modeling
- Non-Destructive Testing Techniques
- Orbital Angular Momentum in Optics
- Catalytic Processes in Materials Science
- Radio Wave Propagation Studies
- Ultrasonics and Acoustic Wave Propagation
- Ammonia Synthesis and Nitrogen Reduction
- Hydraulic Fracturing and Reservoir Analysis
- Structural Analysis and Optimization
- Natural Language Processing Techniques
- Topology Optimization in Engineering
Chongqing Institute of Green and Intelligent Technology
2025
Chongqing University
2004-2023
Beijing Institute of Technology
2017-2022
Laser space networks are an important development direction for inter-satellite communication. Detecting the angle of arrival (AOA) multiple satellites in a wide field view (FOV) is key to realize laser communication networking. The traditional AOA detection method based on lens system has limited FOV. In this paper, we demonstrate that uses spatially distributed sensor array detect basic concept using signal strength each at different spatial angles. An model was developed, and relationship...
Abstract Complex civil structures require the cooperation of many building materials. However, it is difficult to accurately monitor and evaluate inner damage states various material systems. Based on a convolutional neural network (CNN) acoustic emission (AE) time‐frequency diagram, we used transfer learning method for classifying AE signals different materials under external loads. The results show CNN model can classify cracks that come from based signals. recognition accuracy reach 90%...
The 7th member of the Late Triassic Yanchang Formation is most important Mesozoic source rocks and shale oil reservoir in Ordos Basin. hydrocarbon potential organic matter enrichment mechanism this organic-rich are questioned because high heterogeneity continental sediments. In particular, lack drilling Chang 73 sub-member western Basin (central Tianhuan Depression) hinders understanding progress exploration region. study, 87 samples were collected from well DP1 Depression, Basin, analyzed...
Wavefront-modulated beams such as vortex have attracted much attention in the field of target recognition due to introduced degrees freedom. However, traditional wavefront-modulated are doughnut shaped, and not suitable for radar detection or tracking. To solve this problem, a linear wavefront phase-modulated beam with maximum radiation intensity center was proposed previous study. In paper, we continue study characteristics under beam. Through analysis scattering based on physical optics...
Complex civil structures require the cooperation of many building materials. However, it is difficult to accurately monitor and evaluate inner damage states various material systems. Based on a convolutional neural network (CNN) acoustic emission (AE) time-frequency diagram, we used transfer learning method for classifying AE signals different materials under external loads. The results show CNN model can classify cracks that come from based signals. recognition accuracy reach 90% just by...