A5100397478- Catalytic Processes in Materials Science
- Catalysis and Oxidation Reactions
- Industrial Gas Emission Control
- Advanced Photocatalysis Techniques
- Ammonia Synthesis and Nitrogen Reduction
- Gas Sensing Nanomaterials and Sensors
- Aerosol Filtration and Electrostatic Precipitation
- Plasma Applications and Diagnostics
- Nanomaterials for catalytic reactions
- Cyclone Separators and Fluid Dynamics
- Oxidative Organic Chemistry Reactions
- Machine Learning in Materials Science
- Innovation and Knowledge Management
- Atmospheric and Environmental Gas Dynamics
- Atmospheric chemistry and aerosols
- High voltage insulation and dielectric phenomena
- Synthesis and pharmacology of benzodiazepine derivatives
- Atmospheric Ozone and Climate
- Sharing Economy and Platforms
- Catalytic C–H Functionalization Methods
- Supercapacitor Materials and Fabrication
- Perovskite Materials and Applications
- Electrocatalysts for Energy Conversion
- Coal Properties and Utilization
- CO2 Reduction Techniques and Catalysts
Zhejiang University
2016-2025
Jiaxing University
2023-2024
State Key Laboratory of Clean Energy Utilization
2016-2024
Huainan Mining Industry Group (China)
2024
Anhui University of Science and Technology
2024
State Key Laboratory of Modern Optical Instruments
2024
Zhejiang Energy Group (China)
2022
China Huadian Corporation (China)
2020
Guizhou Electromechanical Research and Design Institute
2015
Guizhou Electric Power Design and Research Institute
2015
Abstract The growing platform economy has revived the debate on applicability of internalization theory in contemporary contexts. In moving this forward, we draw insights from hybrids research and property rights to complement school. Our core contribution lies a reconceptualization platforms as hybrid organizational form enabling exchange between owners complementors. Using social an example, propose that improvement host country’s intellectual protection will increase multinational...
Anti-money laundering (AML) systems play a critical role in safeguarding global economy. As money is considered as one of the top group crimes, there crucial need to discover sub-network behind particular transaction for robust AML system. However, existing rule-based methods discovery heavily based on domain knowledge and may lag modus operandi launderers. Therefore, this work, we first address problem with neural network approach, propose an framework AMAP equipped adaptive proposer. In...
Abstract Scintillators, essential component of radiation detectors, have garnered significant attention for their pivotal roles in homeland security, medical imaging, and nondestructive inspection applications. However, existing scintillators still face challenges simultaneously achieving high scintillation efficiency, stability, low toxicity. Herein, a novel Cs 3 Cu 2 Br 5 :Mn single crystal (SC) scintillator, utilizing nontoxic Mn 2+ as activator, is developed. The introduction ⁺ into the...
A machine learning approach for SCR catalyst discovery is presented to realize the rapid screening of optimal catalysts.
The literature suggests both that entrepreneurship is a critical means of poverty alleviation, and entrepreneurial opportunity at the heart activity. Yet extant research has devoted little attention to role in activity reduction. This paper explores relationship between types performance peasant entrepreneurs. Using sample entrepreneurs from Zhejiang, China, we find while dependence on self-identified opportunities positively associated with performance, social network- or...
Developing rapid screening methods for high-performance catalysts is one of the research priorities in environmental science and engineering. However, activity–selectivity trade-off generally observed developing catalysts. Herein, a machine learning workflow to accelerate disentangling multielement oxide selective catalytic reduction (SCR) denitration was proposed. An acidity descriptor redox were defined through systematic investigation 12 experimentally synthesized MnCe-based Assisted with...
The surface morphology and microenvironment of GDEs could be altered through the addition ionomers to electrodes. It was crucial consider potential interactions between ionomer catalyst for better performance.
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