- Semiconductor materials and devices
- Magnesium Alloys: Properties and Applications
- Corrosion Behavior and Inhibition
- Air Quality and Health Impacts
- Integrated Circuits and Semiconductor Failure Analysis
- Advancements in Semiconductor Devices and Circuit Design
- Atmospheric chemistry and aerosols
- Layered Double Hydroxides Synthesis and Applications
- Silicon Carbide Semiconductor Technologies
- Electrostatic Discharge in Electronics
- Dental materials and restorations
- Advanced Memory and Neural Computing
- Vehicle emissions and performance
- Ferroelectric and Negative Capacitance Devices
- Electromagnetic Compatibility and Noise Suppression
- Magnesium Oxide Properties and Applications
- Advanced MEMS and NEMS Technologies
- Air Quality Monitoring and Forecasting
- Advanced Sensor and Energy Harvesting Materials
- Magnetic Field Sensors Techniques
- VLSI and Analog Circuit Testing
- Electronic Packaging and Soldering Technologies
- MXene and MAX Phase Materials
- Liver Disease Diagnosis and Treatment
- Microwave Engineering and Waveguides
Beijing Microelectronics Technology Institute
2016-2025
Anhui University of Technology
2024
University of Hong Kong
2020-2024
Zhejiang University
2024
Zhongshan Hospital of Xiamen University
2024
Sichuan University
2022-2024
HKU-Pasteur Research Pole
2024
Chongqing University
2021-2023
Intel (United States)
2023
Guangdong Province Environmental Monitoring Center
2019-2022
Despite the large reduction in anthropogenic activities due to outbreak of COVID-19, air quality China has witnessed little improvement and featured great regional disparities. Here, by combining observational data simulations, this work aims understand diverse response two city clusters, Yangtze River Delta region (YRD) Pearl (PRD), China. Though there was a noticeable drop primary pollutants both regions, differently, maximum daily 8 h average ozone (O3) soared 20.6-76.8% YRD but decreased...
This study utilised an Artificial Intelligence (AI) method, namely 3D-Deep Convolutional Generative Adversarial Network (3D-DCGAN), which is one of the true 3D machine learning methods, as automatic algorithm to design a dental crown. Six hundred sets digital casts containing mandibular second premolars and their adjacent antagonist teeth obtained from healthy personnel were machine-learned using 3D-DCGAN. Additional 12 data used test dataset, whereas natural in dataset compared with designs...
The extension of microfluidic devices to include three-dimensional fluidic networks allows complex and chemical manipulations but requires innovative methods interface layers. Externally controllable interconnects, employing nuclear track-etched polycarbonate membranes containing nanometer-diameter capillaries, are described that produce hybrid architectures. Controllable nanofluidic transfer is achieved by controlling applied bias, polarity, density the immobile nanopore surface charge...
Zn<sub>2</sub>GeO<sub>4</sub>/Mg-MOF-74 composites are explored for artificial CO<sub>2</sub> phototransformation under mild conditions.
Abstract. Black carbon (BC) aerosols have been widely recognized as a vital climate forcer in the atmosphere. Amplification of light absorption can occur due to coatings on BC during atmospheric aging, an effect that remains uncertain accessing radiative forcing BC. Existing studies enhancement factor (Eabs) poor coverage both seasonal and diurnal scales. In this study, we applied recently developed minimum R squared (MRS) method, which cover scales, for Eabs quantification. Using field...
A composite coating with good load-carrying and controlled release capabilities for the corrosion inhibitor benzotriazole (BTA) was prepared while providing active passive protection magnesium alloy systems. In this paper, organic BTA loaded into ZIF-8/GO hybrid (GZB), then, GZB coated hexadecyltrimethoxysilane (HDTMS). Then, composites carried by HDTMS were made to adhere a ternary MgAlY layered double hydroxide (LDH) based on microarc oxidation (MAO) electrophoresis (Si-MgAlY LDH coating)....
To mitigate the impact of low-frequency noise from tunnel magnetoresistance (TMR) current sensor and ambient stray magnetic fields on weak detection accuracy, we propose a high-resolution modulation-demodulation test method. This method modulates demodulates measurement signal, shifting to high-frequency band for effective filtering, thereby isolating target signal noise. In this study, developed Simulink model TMR Practical time-domain frequency-domain tests revealed that exhibits...