A5108048501- Zeolite Catalysis and Synthesis
- CO2 Reduction Techniques and Catalysts
- Catalytic Processes in Materials Science
- Mesoporous Materials and Catalysis
- Catalysis and Oxidation Reactions
- Ionic liquids properties and applications
- Electrocatalysts for Energy Conversion
- Metal-Organic Frameworks: Synthesis and Applications
- Catalysis and Hydrodesulfurization Studies
- Catalysts for Methane Reforming
- Luminescence Properties of Advanced Materials
- Food composition and properties
- Advanced Cellulose Research Studies
- Recycling and utilization of industrial and municipal waste in materials production
- Fluid Dynamics Simulations and Interactions
- Music and Audio Processing
- Carbon dioxide utilization in catalysis
- Supercapacitor Materials and Fabrication
- Speech Recognition and Synthesis
- Evaluation and Optimization Models
- Advanced Photocatalysis Techniques
- Gas Sensing Nanomaterials and Sensors
- Freezing and Crystallization Processes
- Proteins in Food Systems
- Aerogels and thermal insulation
Chongqing University
2012-2024
Chongqing University of Technology
2019-2021
Henan University of Technology
2021
China University of Petroleum, East China
2012-2015
Fudan University
2008
With regard to using the electric energy generated by renewable sources, CO<sub>2</sub> electroreduction reaction (CO<sub>2</sub>RR) for production of fuels is helpful creating an artificial carbon cycle.
The CO<sub>2</sub> electroreduction reaction (CO<sub>2</sub>RR) to chemicals and fuels is of both fundamental practical significance, since it can lead the more efficient storage renewable energy promote carbon cycle.
Oogenesis in the domestic silkworm (Bombyx mori) is a complex process involving previtellogenesis, vitellogenesis and choriogenesis. During this process, follicles show drastic morphological physiological changes. However, genome-wide regulatory profiles of gene expression during oogenesis remain to be determined. In study, we obtained time-series transcriptome data used these reveal dynamic landscape regulation oogenesis. A total 1932 genes were identified differentially expressed among...
This study aimed to prepare wheat bran arabinoxylans-soy protein isolate (WBAXs-SPI) emulsion-filled gels with different oil contents and investigate their rheological, textural, water-holding capacity (WHC), microstructural properties. The rheological analysis results showed that the maximum correlation interaction occurs when soybean concentration was 10%, elastic modulus (G') reaches highest value of 13,562 Pa. Interestingly, WHC texture change trend WBAXs-SPI gel were consistent...
Aluminum alloy die casting has achieved rapid development in recent years and been widely used all walks of life. However, due to its high pressure high-speed technological characteristics, avoiding hole defects become a problem great significance aluminum production. In this paper, the filling visualization dynamic characterization experiment was innovatively developed, which can directly study analyze influence different injection rates on formation evolution flow patterns gas-induced...
We demonstrated a new strategy for the preparation of highly stable mesoporous molecular sieves (TZM) by desilication ZSM-5 zeolite and self-assembly subunits in Na<sub>2</sub>O·(3.3–3.4) SiO<sub>2</sub> aqueous solution.
HZSM-5-based catalyst is a recognized which particularly selective towards the formations of aromatics in methanol reaction. However, studies on were mainly focused addition metallic or/and nonmetallic element. Quite few have reported effect active matrix such as γ-alumina aromatization methanol. In this study, was introduced into for purpose investigating to The catalysts characterized by X-ray diffraction, Temperature-programmed Desorption NH3 (NH3-TPD), Pyridine adsorption FT-IR diffuse...
Speech recognition has always been one of the research focuses in field human-computer communication and interaction. The main purpose automatic speech (ASR) is to convert waveform signals into text. Acoustic model component ASR, which used connect observation features with modeling units. In recent years, deep learning become mainstream technology recognition. this paper, a convolutional neural network architecture composed VGG Connectionist Temporal Classification (CTC) loss function was...