A5103148618- Advanced Photocatalysis Techniques
- Copper-based nanomaterials and applications
- Covalent Organic Framework Applications
- Perovskite Materials and Applications
- Advanced Nanomaterials in Catalysis
- Complex Network Analysis Techniques
- Advanced Sensor and Control Systems
- Advanced oxidation water treatment
- Advanced Decision-Making Techniques
- Gene expression and cancer classification
- Opinion Dynamics and Social Influence
- Single-cell and spatial transcriptomics
- Polyoxometalates: Synthesis and Applications
- Advanced Algorithms and Applications
- Industrial Technology and Control Systems
- Chemical synthesis and pharmacological studies
- Anomaly Detection Techniques and Applications
- Auction Theory and Applications
- Luminescence Properties of Advanced Materials
- Synthesis and Reactions of Organic Compounds
- Fullerene Chemistry and Applications
- Recommender Systems and Techniques
- Water Treatment and Disinfection
- ZnO doping and properties
- Sensor Technology and Measurement Systems
University of Science and Technology Beijing
2024
Kunming University of Science and Technology
2024
China University of Geosciences
2018-2024
Shanxi University
2019-2024
Nanyang Technological University
2023
Liaoning Jianzhu Vocational University
2018
Kao Yuan University
2001-2003
Xiaomi (China)
2002
Shaanxi Research Association for Women and Family
2000
Mining the scientific literature, combined with data-driven methods, may assist in identification of optimized catalysts. In this paper, we employed interpretable machine learning to discover ternary metal oxides capable selective catalytic reduction nitrogen ammonia (NH3–SCR). Specifically, devised a framework utilizing extreme gradient boosting (XGB), identified for its optimal performance, and SHapley Additive exPlanations (SHAP) evaluate curated database 5654 distinct oxide composite...
Novel K<sup>+</sup> and cyano group decorated g-C<sub>3</sub>N<sub>4</sub> hollow tubes were constructed <italic>via</italic> a facile one-step molten salt assisted strategy.
An Fe(<sc>ii</sc>)-based metal organic framework, α-ferrous oxalate dihydrate (α-FOD), with remarkable n-type semiconductor characteristics has been successfully prepared for use as a bifunctional catalyst in both photocatalysis and Fenton oxidation.
In the field of machine learning, multi-view clustering aims to reveal hidden patterns across different data perspectives. However, traditional methods often struggle due their reliance on low-order similarity data. To overcome this, we propose a new approach that integrates learning multiple graph filters, approximated through Chebyshev polynomials, with consensus structural into unified framework. This method fully utilizes high-order statistical information from sources, thereby enhancing...
A series of novel bifunctional heterojunctions with outstanding photocatalytic and Fenton oxidation activities were synthesized <italic>via</italic> a one-pot solvothermal method in which glucose served as reductant carbon source.
The electronic and optical properties of graphene monoxide, a new type semiconductor materials, are first theoretically studied based on density functional theory. Electronic calculations show that the band gap is 0.952 eV which indicate monoxide direct semiconductor. states partial for C O given to understand structure. In addition, we calculate including complex dielectric function, absorption coefficient, refractive index, loss-function, reflectivity conductivity. These results provide...
ABSTRACT Spatial transcriptomics (ST) technologies have emerged as an effective tool to identify the spatial architecture of tissue, facilitating a comprehensive understanding organ function and tissue microenvironment. domain identification is first most critical step in ST data analysis, which requires thoughtful utilization microenvironment morphological priors. To this end, we propose graph contrastive learning framework, GRAS4T, combines subspace module accurately distinguish different...
In order to improve the accuracy of performance evaluation precision poverty alleviation project, a model based on large data analysis for accurate project is proposed. The regression test carried out with descriptive statistical average results, and fuzzy C mean fusion used. clustering method used classify project. According results clustering, effectiveness investment poor capital evaluated, quantitative financial expenditure set up, structure adjusted by F statistics method, electric...