A5116592770- Multimodal Machine Learning Applications
- Catalytic Processes in Materials Science
- Electrocatalysts for Energy Conversion
- Domain Adaptation and Few-Shot Learning
- Synthesis and properties of polymers
- Catalysts for Methane Reforming
- Advanced Photocatalysis Techniques
- Machine Learning and ELM
- Polymer Nanocomposites and Properties
- Cancer-related molecular mechanisms research
- Human Pose and Action Recognition
- Catalysis and Hydrodesulfurization Studies
- Flame retardant materials and properties
Guangdong University of Technology
2021-2024
Guangzhou University
2023
Key Laboratory of Guangdong Province
2022
A high-density nickel–cobalt alloy embedded in a nitrogen-doped carbon nanosheet structure provides sufficient gas transport for plentiful H 2 bubbles that accelerate mass transfer, resulting higher HER activity than 20% Pt/C at high current density.
The flammability and gas barrier properties are essential for package material. Herein, a highly-oriented self-assembly nanocoating composed of polyvinyl alcohol (PVA) montmorillonite (MMT) was prepared endowing polyethylene terephthalate (PET) films with excellent flame retardancy properties. specific regular nanosheet structure the PVA/MMT composite confirmed by Fourier transform infrared (FTIR) X-ray diffraction (XRD). Thermogravimetric analysis (TGA) vertical burning test (VBT) suggested...