A5101924653- Electrocatalysts for Energy Conversion
- Advanced battery technologies research
- Advanced Photocatalysis Techniques
- Water Systems and Optimization
- Geotechnical Engineering and Underground Structures
- Infrastructure Maintenance and Monitoring
- Innovative concrete reinforcement materials
- Radioactive element chemistry and processing
- Hydrocarbon exploration and reservoir analysis
- Reservoir Engineering and Simulation Methods
- Mineral Processing and Grinding
- Advanced Data Processing Techniques
- Graphene research and applications
- TiO2 Photocatalysis and Solar Cells
- Molecular Junctions and Nanostructures
- Electrochemical Analysis and Applications
- Fault Detection and Control Systems
- Geochemistry and Elemental Analysis
- Nanotechnology research and applications
- Pickering emulsions and particle stabilization
- Industrial Technology and Control Systems
- Graphene and Nanomaterials Applications
- Concrete and Cement Materials Research
- Advanced ceramic materials synthesis
Nanjing Forestry University
2025
University of Science and Technology Beijing
2021-2024
China University of Mining and Technology
2022
Zhejiang University of Technology
2020-2022
Pennsylvania State University
2021
Abstract Highly active and multifunctional non‐precious metal‐based hydrogen evolution reaction (HER) eletcrocatalysts have aroused great interest in the large‐scale conversion of sustainable electrical energy to fuels feedstocks different application scenarios. Here, a metal sulfide‐based super hybrid nanoarray composed metallic Co 3 S 4 nanosheet, P doped WS 2 9 8 nanoparticles (Super‐Co /P‐WS /Co ) for all‐pH HER is reported. The Super‐Co only requires 58, 70, 129 mV alkaline, acid,...
Designing highly efficient photocatalysts with rapid migration of photogenerated charges and surface reaction kinetics for the photocatalytic removal uranium (U(VI)) from mine wastewater remains a significant challenge. Inspired by natural photosynthesis, biomimetic system is assembled designing novel hollow nanosphere MnOx @TiO2 @CdS@Au (MTCA) loading Au nano particles (Au NPs) cocatalysts on inner outer surfaces TiO2 @CdS. The spatially separated efficiently drive to migrate in opposite...
Abstract Silicon carbide whiskers (SiCw) have many excellent properties such as high strength, elastic modulus, and temperature resistance. In this paper, by using water reducer dispersant, a stable SiCw dispersion was obtained, SiCw-modified cement-based composites were prepared. Tensile strength tests for 8-shaped specimens carried out on the materials. The fracture of materials measured three-point bending test with pre-cracks based digital image correlation method. microstructure mortar...
In the cement manufacturing process, temperature field in rotary kiln has a significant influence on quality of clinker, pollution emissions, and energy consumption. There do not exist methods that can directly measure distribution kiln. Therefore developing soft sensor method to predict attracted wide attention. this paper, we use model-driven data-driven establish sensor, which combines computational fluid dynamics multilayer perceptrons The takes axial air speed, swirling coal mass flow,...
A novel FePt/PPy-C composite nanomaterial has been designed and investigated as a methanol oxidation reaction (MOR) electrocatalyst. The FePt nanoparticles with an average diameter of about 3 nm have prepared by the co-reduction method then loaded onto PPy-C support. electrocatalytic performance is affected composition nanoparticles. experimental results indicated that Fe
The sewerage system is held as an important part of city infrastructure, while the pipeline inspection technology based on closed-circuit television (CCTV) still offline and by human. This paper focus research topic defect detection for intelligent sewer with multi-label classification. We first use image preprocessing methods to get unified datasets, then deploy framework deep learning, propose a classification method detection. experimental results show that our approach scalable efficient...
The sewerage system is held as an important part of city infrastructure, while the pipeline inspection technology based on closed-circuit television (CCTV) still offline and by human. This paper focus research topic defect detection for intelligent sewer with multi-label classification. We first use image preprocessing methods to get unified datasets, then deploy framework deep learning, propose a classification method detection. experimental results show that our approach scalable efficient...