- Adsorption and biosorption for pollutant removal
- Nanomaterials for catalytic reactions
- Semiconductor materials and devices
- Advanced Photocatalysis Techniques
- Catalytic Processes in Materials Science
- Plant Water Relations and Carbon Dynamics
- Employment and Welfare Studies
- Pharmaceutical and Antibiotic Environmental Impacts
- Remote Sensing in Agriculture
- Dye analysis and toxicity
- Air Quality and Health Impacts
- Electronic and Structural Properties of Oxides
- Health disparities and outcomes
- Forest ecology and management
- China's Socioeconomic Reforms and Governance
- Advanced oxidation water treatment
- Electron and X-Ray Spectroscopy Techniques
- Carbon and Quantum Dots Applications
- Environmental remediation with nanomaterials
- Plant responses to elevated CO2
- Forest Management and Policy
- Analytical chemistry methods development
- Vehicle emissions and performance
- Layered Double Hydroxides Synthesis and Applications
- Intergenerational Family Dynamics and Caregiving
Hunan Normal University
2021-2025
Sichuan University
2024-2025
Shenyang Agricultural University
2024
Wenzhou Medical University
2023-2024
University of South China
2024
Xuzhou Medical College
2024
Wuhan University of Technology
2021-2024
Hunan Agricultural University
2018-2024
Shanghai University
2024
Chengdu University
2024
Comparing symmetric cells with oxygen-ion and protonic conductive electrolytes, using distinct electrodes, shows that electrode hydration strongly affects proton-conductivity in defective perovskite electrolytes.
The reaction of carbon dioxide (CO2) on Zn-deposited copper surfaces was systematically investigated by ambient-pressure X-ray photoelectron spectroscopy (AP-XPS). In the presence 0.8 mbar CO2 and 0.4 H2 gases, hydrogenation products are not observed; only carbonate is formed Cu(111) Cu(997) surfaces. formation rate at 299 K significantly faster Zn/Cu(997) than that Zn/Cu(111), indicating step sites more reactive for activation terrace sites. On other hand, addition water in feed gas leads...
Satellite data are vital for understanding the large-scale spatial distribution of particulate matter (PM 2.5 ) due to their low cost, wide coverage, and all-weather capability. Estimation PM using satellite aerosol optical depth (AOD) products is a popular method. In this paper, we review estimation process based on AOD in terms sources (i.e., inversion algorithms, sets, interpolation methods), models statistical regression, chemical transport models, machine learning, combinatorial...