The purpose of this paper is to prepare micro-nanorobots using multi-field response hydrogels, and to explore their movement and interaction behavior under different stimulus conditions, as well as their application prospects in the simulated biological environment.

MXene is a new type of two-dimensional layered nanomaterial with excellent electrical conductivity, mechanical strength and optical properties, which is suitable for making flexible sensors. Flexible sensor is a device that can sense external stimuli and convert them into electrical signals, which can be applied to smart skin, wearable electronics, human-computer interaction and other fields.

In this paper, a series of mesoporous nanomaterials with controllable structure were synthesized by the surface interface polymerization assembly method and the reaction conditions were controlled. The effects of pore size distribution, specific surface area and pore wall structure on the reinforced properties of the materials were investigated.

This project intends to research and develop a new two-dimensional material SnP2Se6 to realize the electron-photon integration of photonic chips by using its unique properties. The material has excellent nonlinear optical properties and photoelectric properties, and can realize many functions such as modulation and detection of optical signals on the same chip.

This project intends to research and develop a new two-dimensional material SnP2Se6 to realize the electron-photon integration of photonic chips by using its unique properties. The material has excellent nonlinear optical properties and photoelectric properties, and can realize many functions such as modulation and detection of optical signals on the same chip.

Using deep learning algorithm, this paper attempts to design and implement a recognition system that can automatically recognize and scan handwritten Chinese characters. The system is expected to achieve a certain accuracy of Chinese character recognition.