A5100718158- Nanopore and Nanochannel Transport Studies
- Aerosol Filtration and Electrostatic Precipitation
- Cyclone Separators and Fluid Dynamics
- Geotechnical Engineering and Analysis
- Geotechnical Engineering and Underground Structures
- Quantum Dots Synthesis And Properties
- Granular flow and fluidized beds
- Bone Tissue Engineering Materials
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Fuel Cells and Related Materials
- Perovskite Materials and Applications
- Refrigeration and Air Conditioning Technologies
- Integrated Energy Systems Optimization
- Characterization and Applications of Magnetic Nanoparticles
- Dental materials and restorations
- Additive Manufacturing Materials and Processes
- High Entropy Alloys Studies
- 3D Shape Modeling and Analysis
- Advanced Data Storage Technologies
- Graphene research and applications
- Advanced Neural Network Applications
- Membrane Separation Technologies
- Flow Measurement and Analysis
- Caching and Content Delivery
- Metal and Thin Film Mechanics
Chinese Academy of Geological Sciences
2024-2025
China University of Geosciences (Beijing)
2024-2025
Shenyang Pharmaceutical University
2024-2025
Xi'an Polytechnic University
2022-2024
Tongji University
2020-2024
Lanzhou University
2017-2024
Hebei University of Technology
2022-2024
Sun Yat-sen University
2024
Sun Yat-sen University Cancer Center
2024
China West Normal University
2023-2024
Knowledge of the precise water depth in shallow areas ocean is great significance to safe navigation ships and hydrographic surveying. Compared with traditional bathymetry, satellite remote sensing for determination makes it possible cover large by dynamic observation. In this paper, we conducted an optically bathymetric inversion study using a Stumpf empirical model, random forest neural network support vector machine model based on Sentinel-2 images Ganquan Dao measured bathymetry data. We...
The Salt Lake Mahai in Qaidam Basin, western China contains large and thick lithium-rich clay sediments that exhibit great economic potential for lithium exploration. This study analyzed the occurrence of related dissolution mechanisms these through mineral identification, chemical analyses, monitoring brine composition evolution. Our results show mainly occurred as interbeds between salt layers fillings crystals. dominant is illite, followed by chlorite, kaolinite, an illite-smectite mixed...
Self-compacting mortar (SCM) has superior workability and long-term durable performance compared to traditional mortar. The strength of SCM, including both its compressive flexural strengths, is a crucial property that determined by appropriate curing conditions mix design parameters. In the context materials science, predicting SCM challenging because multiple influencing factors. This study employed machine learning techniques establish prediction models. Based on ten different input...
Semantic segmentation of high-resolution remote sensing images (HRSIs) is a challenging task because objects in HRSIs usually have great scale variance and appearance variance. Although deep convolutional neural networks (DCNNs) been widely applied the semantic HRSIs, they inherent limitations capturing global context. Attention mechanisms transformer can effectively model long-range dependencies, but often result high computational costs when being to process HRSIs. In this article, an...
Wireless sensor networks have developed quickly in recent years, and the use of self-powered technology to replace traditional external power sources nodes has become an urgent problem that needs be solved.
Abstract Polyethylene glycol (PEG) is an important and popular phase change material (PCM), but not a good antistatic material, which would cause the accumulation of static electricity electrostatic discharge when used for thermal energy storage management electrical devices. Herein, we prepared PEG‐based solid–solid PCM (SSPCM) with property by introducing ionic liquid onto macromolecular chains. This SSPCM in solid state even at 90°C, avoiding leakage issue pure PEG. Its latent heat values...