Hui Yang

ORCID: 0000-0003-1041-8585
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About
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Research Areas
  • Catalytic Processes in Materials Science
  • Catalysts for Methane Reforming
  • Advanced Photocatalysis Techniques
  • Ammonia Synthesis and Nitrogen Reduction
  • Microwave Dielectric Ceramics Synthesis
  • Advanced ceramic materials synthesis
  • Robotics and Sensor-Based Localization
  • Carbon dioxide utilization in catalysis
  • Layered Double Hydroxides Synthesis and Applications
  • CO2 Reduction Techniques and Catalysts
  • 3D Surveying and Cultural Heritage
  • Glass properties and applications
  • Copper-based nanomaterials and applications
  • Nanomaterials for catalytic reactions
  • Electrocatalysts for Energy Conversion
  • Synthesis and biological activity
  • Aerogels and thermal insulation
  • Covalent Organic Framework Applications
  • Catalysis and Oxidation Reactions
  • Catalysis and Hydrodesulfurization Studies
  • 3D Shape Modeling and Analysis
  • Nonlinear Waves and Solitons
  • Nuclear materials and radiation effects
  • Advanced Fiber Laser Technologies
  • Advanced Image Fusion Techniques

Nanjing University of Information Science and Technology
2023-2025

Inner Mongolia University
2022-2025

Institute of Coal Chemistry
2022-2025

Anhui University
2025

Zhejiang University
2006-2024

China University of Petroleum, Beijing
2024

Yangzhou University
2024

University of Chinese Academy of Sciences
2022-2023

Taiyuan University of Technology
2023

Pharmaceutical Biotechnology (Czechia)
2023

Semantic segmentation of high-resolution remote sensing images is vital for various applications, including environmental monitoring, urban planning, and land resource management. Nonetheless, these frequently pose challenges owing to substantial intra-class similarity considerable inter-class variation, which often result in the misclassification small target objects. To address issues, we introduce an innovative deep learning network model that employs pixel memory sharing improve feature...

10.1117/12.3059019 article EN 2025-01-02

It is widely believed that the support type can significantly influence performances of Ni-based CO2 methanation catalysts. In order to reveal essential reasons behind, this study carefully investigated how different supports impact catalytic properties methanation, focusing on strong metal-support interaction, redox performance, and pore topology, etc. To elucidate effects various thermal decomposition behavior reaction mechanism in-situ quasi-situ dynamic techniques, including...

10.2139/ssrn.5084042 preprint EN 2025-01-01

Abstract Frontier orbital hybridization plays a vital role in the initial adsorption and activation process during catalysis. A formidable challenge is precise determination of active orbitals/sites. Herein, 2D Bi 3 O 4 Br nanosheets are adopted as an operable platform for heteroatom doping various transition metals (Fe, Ni, Zn/Cd). As atom number dopants increases, capability selective CO 2 photoconversion continuously amplified. The intrinsic nature variation functional indicated from band...

10.1002/smll.202412527 article EN Small 2025-03-18

Monolithic mayenite has been successfully prepared<italic>via</italic>a sol–gel process followed by heat-treatment, exhibiting co-continuous macroporous structure and high porosity.

10.1039/c4nj00898g article EN New Journal of Chemistry 2014-01-01

Macroporous CuAl<sub>2</sub>O<sub>4</sub> spinel, which was first synthesized, showed excellent selective adsorption performance towards some anionic dyes.

10.1039/c7nj02279d article EN New Journal of Chemistry 2017-01-01
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