A5020967399- Advanced battery technologies research
- Radio Frequency Integrated Circuit Design
- Photonic and Optical Devices
- Advanced Battery Materials and Technologies
- Radar Systems and Signal Processing
- Advanced Power Amplifier Design
- Non-Invasive Vital Sign Monitoring
- Advanced Neuroimaging Techniques and Applications
- Semiconductor Lasers and Optical Devices
- Advanced Optical Sensing Technologies
- Deception detection and forensic psychology
- Advancements in Battery Materials
- 3D Printing in Biomedical Research
- Advanced ceramic materials synthesis
- Catalysis and Oxidation Reactions
- Microwave Engineering and Waveguides
- Semiconductor materials and devices
- MXene and MAX Phase Materials
- Catalysts for Methane Reforming
- Trigeminal Neuralgia and Treatments
- Electrospun Nanofibers in Biomedical Applications
- Supercapacitor Materials and Fabrication
- ZnO doping and properties
- Advanced MIMO Systems Optimization
- Transition Metal Oxide Nanomaterials
Nanjing University of Science and Technology
2021-2025
Zhejiang University
2021-2024
Taizhou University
2024
Guangdong Academy of Sciences
2022
First Affiliated Hospital of Nanchang University
2021
Nanchang University
2021
Abstract Rechargeable Zn batteries with aqueous electrolytes have been considered as promising alternative energy storage technology, various advantages such low cost, high volumetric capacity, environmentally friendly, and safety. However, a lack of reliable cathode materials has largely pledged their applications. Herein, machine learning (ML)‐based approach to predict cathodes capacity (>100 mAh g −1 ) voltage (>0.5 V) is developed. Over ≈130 000 inorganic from the project database...
There are limited naturally derived protein biomaterials for the available medical implants. High cost, low yield, and batch-to-batch inconsistency, as well intrinsically differing bioactivity in some of proteins, make them less beneficial common implant materials compared to their synthetic counterparts. Here, we present a milk-derived whey isolate (WPI) new kind natural protein-based biomaterial The WPI was methacrylated at 100 g bench scale, >95% conversion, 90% yield generate...
Zn-ion batteries with low cost and high safety have been regarded as a promising energy storage technology for grid storage. It is well-known that the metal anode surface orientation vital to its reversibility. Herein, we demonstrate facile route control Zn through electrodeposition electrolyte additives. An ultrathin (101)-inclined (down 2 μm) obtained by adding small amount of dimethyl sulfoxide (DMSO) in ZnSO4 aqueous electrolyte. Scanning electron microscopy indicates formation flat...
ABSTRACT This paper presents a Ka‐band flat‐gain low‐noise amplifier (LNA) in 65‐nm CMOS technology. An optimized gate bias technique is utilized for comprehensive optimization among noise figure (NF), input 1 dB compression point (IP 1dB ), and power consumption. Then current‐reused used to further reduce consumption, an inductor inserted the DC path improve circuit's common mode stability. The interstage output magnetic‐coupled resonator (MCR) matching network with individual pole...
Lying is a common behavior that humans deceive and mislead others by concealing plots, false statements, distorting facts which important for intelligence service, bank, justice department. In this paper, system based on DIFCW radar with machine learning presented to perform polygraph. The utilized achieve non-contact measurement of heartbeat respiratory signals. Based the two signals, several features are extracted. And model trained through determine whether subject lie. experiment,...
Abstract Background: Previous studies have shown gray matter(GM) abnormalities in the central nervous system at group level, but this method is limited because it based on single or cluster voxels. In contrast, machine learning makes full use of all available empirical information, including differences brain images behavioral data, to classify predict data and ensure good generalization ability. This approach has potential as a prediction tool individual level. We thus hypothesized that...