A5100675539- Catalytic Processes in Materials Science
- Catalysis and Oxidation Reactions
- Advanced Photocatalysis Techniques
- Copper-based nanomaterials and applications
- CO2 Reduction Techniques and Catalysts
- Catalysts for Methane Reforming
- Adversarial Robustness in Machine Learning
- Ammonia Synthesis and Nitrogen Reduction
- Electrocatalysts for Energy Conversion
- Speech and Audio Processing
- Neural Networks and Applications
- Manufacturing Process and Optimization
- Carbon dioxide utilization in catalysis
- Underwater Acoustics Research
- Topic Modeling
- Numerical Methods and Algorithms
- Covalent Organic Framework Applications
- Gas Sensing Nanomaterials and Sensors
- Advanced Malware Detection Techniques
- Software Engineering Research
- Nanomaterials for catalytic reactions
- Web Data Mining and Analysis
- Advanced Multi-Objective Optimization Algorithms
- Advanced Technologies in Various Fields
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
Guizhou University
2024
Ocean University of China
2019-2024
Baotou Research Institute of Rare Earths
2021-2023
Institute of Information Engineering
2023
Chinese Academy of Sciences
2023
Xi'an University of Architecture and Technology
2023
Georgia Institute of Technology
2022
Inner Mongolia University
2011-2022
Taishan University
2019-2022
Shanghai University of Engineering Science
2013-2022
Tricomponent cerium–tungsten–titanium catalysts have the potential for selective catalytic reduction of NO by NH3, while accurate modulating surface structure and understanding atomic-level mechanism remain extremely challenging. To resolve conundrum, here, we investigate modular ternary through advanced spectroscopic computational studies. It reveals that introduction graphene oxide induces a high dispersion W Ce species, resulting in generation amorphous W–O–Ce- Ce–O–Ti-bonding structures...
Effort-aware just-in-time (JIT) defect prediction is to rank source code changes based on the likelihood of detects as well effort inspect such changes. Accurate algorithms help find more defects with limited effort. To improve accuracy prediction, in this paper, we propose a deep learning approach for effort-aware prediction. The key idea proposed that neural network and could be exploited select useful features because they have been proved excellent at selecting classification regression....
Automatic modulation recognition has successfully used various machine learning methods and achieved certain results. As a subarea of learning, deep made great progress in recent years remarkable the field image language processing. Deep requires large amount data support. communication with data, there is an inherent advantage applying learning. However, extensive application not yet been fully developed, especially underwater acoustic communication. In this paper, we mainly discuss process...
Manganese oxide-based denitrification catalysts supported by anatase with active components of Mn, Mn–La, Mn–Co, and Mn–La–Co oxides were prepared a coprecipitation approach, comparisons their catalytic activities made. The influences Co La addition on the NO removal H2O/SO2 tolerance MnOx investigated. reasons for different performances investigated using XRD, XPS, H2-TPR, NH3-TPD experiments. reaction mechanism selective reduction NOx ammonia was determined in situ diffuse reflectance...
Nanoarchitecture alloy materials represent a class of highly efficient and stable catalysts in heterogeneous catalysis. An intrinsic challenge has been seeking that can fulfill activity, selectivity, durability requirements the reaction. Herein, we exploit PtCu nanocage constituted by nanoparticles. The catalyst with cuboctahedron morphology is active for complete CO conversion within temperature window 115–155 °C preferential oxidation (CO-PROX), attributable to substantial change surface...
A series of hydrotalcite (HT) and modified by the transition metal ion Ni(II) was prepared with a coprecipitation method before being loaded gold nanoparticles. The supported on Ni3Al Ni2+/Al3+ molar ratio 3:1 investigated. Different techniques such as X-ray diffraction (XRD), photoelectron spectroscopy (XPS) UV-vis diffuse reflection spectrum (UV-vis DRS) were applied to characterize catalysts. single-phase catalyst high crystallinity, layered structure good composition successfully...
The critical nature of passive ship-radiated noise recognition for military and economic security is well-established, yet its advancement faces significant obstacles due to the complex marine environment. challenges include natural sound interference signal distortion, complicating extraction key acoustic features ship type identification. Addressing these issues, this study introduces DWSTr, a novel method combining depthwise separable convolutional neural network with Transformer...
The inverse CeO2/CuO catalysts were prepared by different precipitants, and characterized via XRD, ICP, SEM, H2-TPR, Raman, TEM N2 adsorption–desorption techniques. study showed that the configurations formed copper is mainly present in form of bulk CuO as-synthesized catalysts. It was found length contact interface between CeO2 closely associated with crystal size CuO. using urea, NaOH TMAH (tetramethylammonium hydroxide) as precipitants presented a better catalytic performance for CO...
Bi(NO3)3·5H2O and (NH4)6Mo7O24·4H2O were used as precursors to synthesize flaky γ-Bi2MoO6 samples by a hydrothermal method, Pt/γ-Bi2MoO6 with different mass fractions prepared an NaBH4 reduction method. Alpha alkylation of benzyl alcohol acetophenone photocatalysts under visible light irradiation was performed, the activity 4 wt % (γ-Bi2MoO6 nitric acid pH = 9, reaction temperature 180 °C) best. The photocatalytic conditions optimized changing various kinds variables, such type catalyst,...