A5078204723- Landslides and related hazards
- Fire effects on ecosystems
- Nanopore and Nanochannel Transport Studies
- Cryospheric studies and observations
- Membrane Separation Technologies
- Membrane-based Ion Separation Techniques
- Flood Risk Assessment and Management
- Remote-Sensing Image Classification
- Video Surveillance and Tracking Methods
- Graphene research and applications
- Advanced Battery Materials and Technologies
- Tree Root and Stability Studies
- Remote Sensing and Land Use
- Ionic liquids properties and applications
- Anomaly Detection Techniques and Applications
- Anodic Oxide Films and Nanostructures
- Block Copolymer Self-Assembly
- Advanced Image Fusion Techniques
- Advancements in Battery Materials
Chengdu University of Technology
2023-2024
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2024
Wuhan University
2024
Chang'an University
2024
Abstract Osmotic energy, as a renewable clean energy with huge density and stable yield, has received widespread attention over the past decades. Reverse electrodialysis (RED) based on ion‐exchange membranes is an important method of obtaining osmotic from salinity gradients. The preparation both high ion selectivity permeability in constant exploration. In this work, metal hydroxide‐organic framework (MHOF) are successfully prepared onto porous anodic aluminum oxide (AAO) by facile...
As an emerging metal–organic framework (MOF) material in recent years, the MOF-303 membrane has shown great potential applications seawater desalination, dehydration, and atmospheric water harvesting. Herein, we report on a dense uniform fabricated by facile situ hydrothermal synthesis approach presence of anodized aluminum oxide (AAO) channel acting as only Al source substrate. Interestingly, isomer can be obtained due to insufficient amount organic ligand caused less hydrophilic larger...
Considering the great time and labor consumption involved in conventional hazard assessment methods compiling landslide inventory, construction of a transferable susceptibility prediction model is crucial. This study employs UAV images as data sources to interpret typical alpine valley area Beichuan County. Eight environmental factors including digital elevation (DEM) are extracted establish pixel-wise dataset, along with interpreted data. Two models were built, each deep neural network...
Landslides are most severe in the mountainous regions of southwestern China. While landslide identification provides a foundation for disaster prevention operations, methods utilizing multi-source data and deep learning techniques to improve efficiency accuracy complex environments still focus research difficult issue research. In this study, we address above problems construct model based on shifted window (Swin) transformer. We chose Ya’an, which has terrain experiences frequent...
Landslide susceptibility prediction usually involves the comprehensive analysis of terrain and other factors that may be distributed with spatial patterns. Without considering correlation mutual influence between pixels, conventional methods often focus only on information from individual pixels. To address this issue, present study proposes a new strategy for neighboring pixel collaboration based Unified Perceptual Parsing Network (UPerNet), Vision Transformer (ViT), Graph Neural Networks...
To sustain the fast-growing energy demand, high-performance electrolytes and electrode materials are required for secondary batteries. Sodium batteries have emerged as expedient lithium-ion battery alternatives due to low costs high abundance of sodium resources. Ionic liquids (ILs) with vapor pressure flammability fascinating owing their intrinsic safety thermal stability.[1,2] In this talk, multifunctionalities ionic liquid will be comprehensively presented, especially targeting...