A5100458609- X-ray Diffraction in Crystallography
- Crystallization and Solubility Studies
- Advanced Photocatalysis Techniques
- Metallic Glasses and Amorphous Alloys
- Glass properties and applications
- Gas Sensing Nanomaterials and Sensors
- Catalytic Processes in Materials Science
- 2D Materials and Applications
- Electric Motor Design and Analysis
- Advanced Sensor and Energy Harvesting Materials
- Advanced oxidation water treatment
- Advanced Nanomaterials in Catalysis
- Metallurgy and Material Forming
- Hydraulic Fracturing and Reservoir Analysis
- Nanomaterials for catalytic reactions
- Stock Market Forecasting Methods
- Coastal and Marine Dynamics
- TiO2 Photocatalysis and Solar Cells
- Material Dynamics and Properties
- Wave and Wind Energy Systems
- Photonic Crystals and Applications
- Induction Heating and Inverter Technology
- Human Mobility and Location-Based Analysis
- Tactile and Sensory Interactions
- Metal Forming Simulation Techniques
Wangjing Hospital of China Academy of Chinese Medical Sciences
2024-2025
China Aerodynamics Research and Development Center
2025
Sun Yat-sen University
2025
China University of Petroleum, East China
2023-2025
China Academy of Chinese Medical Sciences
2025
Chinese Academy of Medical Sciences & Peking Union Medical College
2024
Xiangtan University
2024
Wuhan University of Technology
2023-2024
Tibet University
2023-2024
Ji Hua Laboratory
2024
We developed a facile ultrasonic vibration route is to synthesize BMGs and metallic glass-glass composites.
In China, the fast growth of economy and society is causing a change in multifunction cultivated land (MCL), but there still lack proper understanding structural connections between these internal functions. Based on exploring theoretical concept MCL quantitative measurement, this paper applied trade-off/synergy model bivariate spatial autocorrelation to investigate relationships various dimensions MCL, influential factors was revealed by Geographical Detectors. Our research demonstrated...
Abstract: Supported metal nanocatalysts are promising candidates for heterogenous photocatalysis because the nanoparticles (e.g., Au, Pt, or Pd) loaded on semiconductor surface not only act as a reductive cocatalyst, which accelerates kinetics of reactions such H+ reduction, but also trap photoelectrons, allows charge separation. Owing to these unique benefits, supported photocatalysts have been extensively studied green H2 production at side integrated with organic selective oxidation...
Synthetic dyes have caused serious ecological and environmental threats in our daily lives. Effective inexpensive dye-degradation methods are desperately perused for decades. In this work, ultrasonic-vibration treatment is found as an effective approach that can dramatically improve the degradation performance of industrial Fe78Si9B13 amorphous powders towards methylene blue. As demonstrated by synchrotron X-ray nano-computed tomography scanning electron microscope combined with...
Peripheral nerve injury represents one of the most common types traumatic damage, severely impairing motor and sensory functions, posttraumatic regeneration remains a major challenge. Electrical cues are critical bioactive factors that promote regrowth, bioartificial scaffolds incorporating conductive materials to enhance endogenous electrical field have been demonstrated be effective. The utilization fully biodegradable can eliminate material residues, circumvent need for secondary...
This paper examines sensing mechanisms and stability issues of flexible sensors used in morphing wing applications. A key challenge is the lack theoretical frameworks that accurately predict sensor behavior during complex deformation. Current models struggle to fully capture relationships between mechanical strain, electrical response, material properties. We first analyze microscopic macroscopic characteristics 2D material-based sensitive films, developing strain-sensitive based on crack...
Numerous studies have shown that label noise can lead to poor generalization performance, negatively affecting classification accuracy. Therefore, understanding the effectiveness of classifiers trained using deep neural networks in presence noisy labels is considerable practical significance. In this paper, we focus on error bounds excess risks for problems with within learning frameworks. We begin by exploring loss functions noise-tolerant properties, ensuring empirical minimizer data...
Accurate oil and gas production forecasting is essential for optimizing field development operational efficiency. Steady-state capacity prediction models based on machine learning techniques, such as Linear Regression, Support Vector Machines, Random Forest, Extreme Gradient Boosting, effectively address complex nonlinear relationships through feature selection, hyperparameter tuning, hybrid integration, achieving high accuracy reliability. These maintain relative errors within acceptable...
OpenSim is an open source, free motion simulation and gait analysis software, which can be used to dynamically simulate analyze the complex of human body, widely in biomechanical research. Since multi-dimensional data such as muscle strength, joint torque, synergistic activation during movement, it study mechanism musculoskeletal imbalance diseases various treatment methods TCM orthopedics, has a broad application prospect field orthopedics. By basic characteristics, elements, process,...
At 700 K, the optimal ZT of SnNCl and SnNBr monolayers reached 2.55 3.23, respectively. Higher values good ferroelasticity indicate that SnNX (X = Cl, Br) should be promising thermoelectric ferroelastic materials.
In order to meet the needs of multi-spectral radiation temperature measurement under high background, this paper studies problems reflected interference and spectral emissivity difficult obtain in intense reflection environment. First, using discrete triangular surface elements angle coefficients, an analysis model background is constructed describe variation characteristics radiation. Secondly, least squares support vector machine (LSSVM) optimized by particle swarm optimization (PSO)...