A5100394292- Layered Double Hydroxides Synthesis and Applications
- Luminescence Properties of Advanced Materials
- Inorganic Chemistry and Materials
- Crystallization and Solubility Studies
- Microwave Dielectric Ceramics Synthesis
- X-ray Diffraction in Crystallography
- Chemical Synthesis and Characterization
- Quantum Dots Synthesis And Properties
- ZnO doping and properties
- Lanthanide and Transition Metal Complexes
- Chalcogenide Semiconductor Thin Films
- Gas Sensing Nanomaterials and Sensors
- Ammonia Synthesis and Nitrogen Reduction
- Hydrogen Storage and Materials
- Catalytic Processes in Materials Science
- Advanced Photocatalysis Techniques
- Perovskite Materials and Applications
- Polyoxometalates: Synthesis and Applications
- Copper-based nanomaterials and applications
- Glass properties and applications
- Crystal Structures and Properties
- Ga2O3 and related materials
- Catalysis and Oxidation Reactions
- Magnetic Properties and Synthesis of Ferrites
- Metal-Organic Frameworks: Synthesis and Applications
Nanchang University
2016-2025
Soochow University
2020-2024
China Building Materials Academy
2019-2024
Central South University
2022-2024
Xinjiang University
2022-2024
Duke University
2023
Wuhan University of Science and Technology
2017-2022
Hunan University
2020-2021
State Key Laboratory of Chemobiosensing and Chemometrics
2020-2021
Changsha University
2021
High entropy oxide (HEO) has shown to be a new type of catalyst support with tunable composition–function properties for many chemical reactions. However, the preparation metal nanoparticle supported on is time-consuming and takes multiple complicated steps. Herein, we used one-step glycine–nitrate-based combustion method synthesize highly dispersed rhodium nanoparticles high surface area HEO. This showed selectivity produce CO in CO2 hydrogenation 80% higher activity compared...
The widespread deployment of Large Language Models (LLMs) is hindered by the high computational demands, making knowledge distillation (KD) crucial for developing compact smaller ones. However, conventional KD methods endure distribution mismatch issue between teacher and student models, leading to poor performance distillation. For instance, widely-used KL-based suffer mode-averaging mode-collapsing problems, since mismatched probabitliy both models. Previous studies mainly optimize this...
In modern agricultural production, accurately estimating the leaf water content (LWC) of Korla fragrant pear is crucial for achieving scientific irrigation and ensuring fruit quality. However, constructing accurate effective LWC prediction models remains challenging due to limitations in sample selection, spectral feature analysis, model applicability. To address these issues, this study was conducted systematically optimize process. During collection, a random split method employed divide...
Low-cost and efficient catalysts are highly required for the hydrolysis of ammonia borane (AB) to conveniently produce H2. Here, we have designed a CoOx catalyst grown on an ErOx nanosheet substrate (Co9Er1Ox) AB. Due favorable interfacial interaction between substrate, hybrid Co9Er1Ox shows high total turnover frequency (TOF) value 70.5 (H2) mol/(Cat-Co) mol·min with activation energy 48.5 kJ/mol, which is nearly 3 times higher than that pure catalyst. Moreover, by using in situ X-ray...
Efficient catalysis of ammonia borane (AB) holds potential for realizing controlled energy release from hydrogen fuel and addressing cost challenges faced by storage. Here, we report that amorphous domains on metallic Fe crystal structures (R-Fe2O3 Foam) can achieve AB catalytic performances stability (turnover frequency (TOF) 113.6 min−1, about 771 L H2 in 900 h, 43.27 mL/(min·cm2) 10×10 cm2 outperform reported benchmarks (most <14 45 h) at least 20 times. These notable increases are...
Big data techniques has been applied to power grid for the evaluation and prediction of conditions. However, raw quality rarely can meet requirement precise analytics since set usually contains samples with missing which common mining models are sensitive. Though classic interpolation or neural network methods used fill gaps data, their predicted often fail fit rules This paper presents a machine learning framework (OR_MLF) improve accuracy datasets points, mainly combines preprocessing,...
The combined concentrator/oxidizer system has been proposed as an effective physical-chemical option and proven to be a viable solution that enables Volatile Organic Carbons (VOCs) emitters comply with the regulations. In this work, field scale honeycomb zeolite rotor concentrator recuperative oxidizer was developed applied for treatment of VOC waste gas. research shows following: (1) adsorption rotor, is more appropriate material than Granular Activated Carbon (GAC). designing operation...