Wuhan China Star Optoelectronics Technology Co., Ltd.

Guangdong University of Technology

Shenzhen China Star Optoelectronics Technology Co., Ltd.

Zijian Li

Zhifeng Hao

Ruichu Cai

Boyan Xu

Wen Wen

Bingfeng Chen

Yun Chen

Xin Chen

Maoxiang Hou

Junfeng Li

Zhihao Liang

Aoke Song

Lijuan Wang

Pengfei Yu

A method for manufacturing a core-shell coaxial gallium nitride (GaN) piezoelectric nanogenerator is provided. A mask covering a center part of a gallium nitride wafer is removed. An electrodeless photoelectrochemical etching is performed on the gallium nitride wafer to form a primary GaN nanowire array on a surface of the gallium nitride wafer. A precious metal layer provided on the surface of the gallium nitride wafer is removed and an alumina layer is deposited on the surface of the gallium nitride wafer to cover the primary GaN nanowire array to obtain a core-shell coaxial GaN nanowire array. A first conductive layer is provided on a flexible substrate to which the core-shell coaxial GaN nanowire array is transferred. A second conductive layer is provided at a top end of the core-shell coaxial GaN nanowire array, and is connected to an external circuit to obtain the core-shell coaxial GaN piezoelectric nanogenerator.

Method for manufacturing core-shell coaxial gallium nitride (GaN) piezoelectric nanogenerator

The invention discloses a method and a device for constructing a SQL statement based on reinforcement learning, wherein the method includes: initializing an actor-critic network parameter; acquiring a sequence pair of natural language and real SQL statement from a data set; inputting a natural language sequence into an actor network encoder, and inputting a real SQL sequence into a critic network encoder; using an encoded hidden state as an initialized hidden state of a corresponding decoder; gradually predicting, by an actor network decoder, a SQL statement action, and inputting the SQL statement action to a critic network decoder and an environment to obtain a corresponding reward; and using a gradient descent algorithm to update the network parameters, and obtaining a constructing model of the natural language to the SQL statement after repeated iteration training.

Method for constructing SQL statement based on actor-critic network

The present invention discloses a method for detecting abnormity in an unsupervised industrial system based on deep transfer learning. Labeled machine sensor sequence data from a source domain and unlabeled sensor sequence data from a target domain are used in the present invention to train an industrial system abnormal detection model with good generalization ability, and the industrial system abnormal detection model is trained and tested to finally generate a trained industrial system abnormity discrimination model. Using the model, received machine sensor sequence data can be analyzed and whether a machine is abnormal is discriminated.

Method for detecting abnormity in unsupervised industrial system based on deep transfer learning

A method for manufacturing a substrate is disclosed. The method comprises the following steps: step one, depositing an amorphous silicon layer on a base material; step two, depositing a silicon dioxide layer with a first thickness on the amorphous silicon layer; and step three, etching the silicon dioxide layer until a thickness thereof is reduced to a second thickness. According to the method of the present disclosure, the silicon dioxide layer with a needed thickness can be manufactured on the amorphous silicon layer. When the ELA procedure is performed, the silicon dioxide layer has an enough thickness to prevent the formation of protrusions at grain boundary of polysilicon, so that the semi-conductive layer manufactured therein can have a relatively low roughness.

Method for manufacturing substrate

Provided is a cleaning device, comprising a plurality of cleaning units, and a conveyor which is used for connecting the plurality of cleaning units. Each of the plurality of cleaning units includes a body having a working chamber, and a liquid spray unit. At least one of the plurality of cleaning units comprises a plurality of baffles arranged between the liquid spray unit and the conveyor, and a driving mechanism. The driving mechanism is configured to actuate each of the plurality of baffles into rotation along a first direction to overlap with adjacent baffles, and further actuate each of the plurality of baffles into rotation along an opposite direction of the first direction.

Cleaning device for cleaning a glass substrate and a semi-finished array substrate

The present disclosure relates to an array substrate and the manufacturing method thereof. The manufacturing method includes depositing a conductive layer on a substrate, forming three poles of at least one thin film transistor (TFT), a first signal line, and a second signal line by etching the conductive layer via a first mask, The method also includes depositing an intermediate layer in sequence, forming a first connecting bridge connecting a first portion and a second portion by etching the intermediate layer via a second mask, depositing a conductive electrode, and forming at least one pixel electrode and a connecting line between the first portion and the second portion by etching the conductive electrode via a third mask. In this way, the time of the manufacturing process of the array substrates may be reduced such that the manufacturing cost may be decreased.

Array substrates and the manufacturing method thereof

The present disclosure relates to a LTPS TFT unit for liquid crystal modules and the manufacturing method thereof. The manufacturing method includes: forming a SiNx layer on a glass substrate; forming a SiOx layer and an a-Si layer on the SiNx layer in sequence; scanning the a-Si layer by laser beams to remove hydrogen within the a-Si layer; adopting excimer laser to re-crystallization anneal the a-Si layer to form the polysilicon layer; forming a gate insulation layer on the polysilicon layer; forming a gate on the gate insulation layer; and forming a drain insulation layer on the gate.

Growing community of inventors

Guangdong, China

Zijian Li