East China Normal University

Chongqing Institute of East China Normal University

Roi Optoelectronics Technology Co, Ltd.

Yunnan Huapu Quantum Material Co., Ltd

Shanghai Langyan Optoelectronics Technology Co., Ltd.

Chuan Yang

Heping Zeng

Mengyun Hu

Shuai Yuan

A method for producing a conductive glass fiber mesh with laser induced coating graphene comprises: (I) preparing a glass fiber paper coated with a carbon-containing precursor material; (II) subjecting the glass fiber paper coated with the carbon-containing precursor material to laser irradiation to reduce the carbon-containing precursor material into the laser induced coating graphene, obtaining a glass fiber paper coated with the laser induced coating graphene; and (III) folding the glass fiber paper coated with the laser induced coating graphene to obtain the conductive glass fiber mesh with laser induced coating graphene.

Method and device for producing conductive glass fiber mesh with laser induced coating graphene

A method for processing a chip based on deep learning and an apparatus for processing a chip based on deep learning are provided. The method includes scanning the chip with femtosecond laser in a predetermined polarization state to produce a main scanning trajectory and periodic nano-stripes on both sides of the main scanning trajectory, so as to form a nano-ridge structure on a surface of the chip; obtaining a super-resolution microscopic image of the nano-ridge structure by super-resolution microscopy; obtaining a target image; reconstructing the target image based on deep learning for image super-resolution to obtain the reconstructed image, and recognizing and processing the reconstructed image to obtain characteristic parameters of the nano-ridge structure as input parameters for deep learning for femtosecond laser processing; adjusting processing parameters of the chip according to the output values of the deep learning model for femtosecond laser processing; and outputting the optimized nano-ridge structure.

Method and apparatus for processing chip based on deep learning

A method for processing a micro-channel of a micro-fluidic chip using multi-focus ultrafast laser, in which an array-type multi-focus femtosecond laser is used to perform fractional ablation on the micro-fluidic chip, and then pulse laser is used to perform secondary ablation on the micro-fluidic chip. Ultrasonic-assisted hydrofluoric acid etching is performed on the micro-fluidic chip after ablation to obtain a true three-dimensional micro-channel on the micro-fluidic chip. A device for processing a micro-channel of a micro-fluidic chip using multi-focus ultrafast laser is also provided.

Device and method for processing micro-channel on microfluidic chip using multi-focus ultrafast laser

A device and a method for direct printing of a microfluidic chip based on a large-format array femtosecond laser. The large-format array femtosecond laser with multi-parameter adjustable laser beam state is used to achieve large-format laser interference. The interference state, interference combination and exposure mode of the large-format array femtosecond laser are regulated, and multiple exposures are superimposed to output the desired pattern for the microfluidic chip, enabling the direct printing processing of the microfluidic chip.

Device and method for direct printing of microfluidic chip based on large-format array femtosecond laser

Provided is a method for preparing a graphene material from an industrial hemp material by laser induction, which uses a skin, a stem and/or a root of industrial hemp as a carbon precursor-containing material and reduce the carbon precursor-containing material into graphene by laser induction, so as to prepare graphene, graphene quantum dots, a graphene mesoporous material and a graphene composite material.

Growing community of inventors

Chongqing, China

Chuan Yang