您当前的位置:
首页 >
文章列表页 >
Micron-level processing technology of microlens array (MLA) photolithography based on convolutional neural network
Micro/Nano Technology and Fine Mechanics | 更新时间:2024-01-13
    • Micron-level processing technology of microlens array (MLA) photolithography based on convolutional neural network

    • In the MLA exposure process, a circular pattern is designed and the Yolov5 model is introduced to quickly determine the exposure quality, analyze parameters such as photoresist thickness and line energy density, and provide a basis for process optimization.
    • Optics and Precision Engineering   Vol. 32, Issue 1, Pages: 43-52(2024)
    • DOI:10.37188/OPE.20243201.0043    

      CLC: TN248;TH391.41
    • Received:15 August 2023

      Revised:11 September 2023

      Published:10 January 2024

    移动端阅览

  • YAO Yuchao,ZHOU Rui,YAN Xing,et al.Micron-level processing technology of microlens array (MLA) photolithography based on convolutional neural network[J].Optics and Precision Engineering,2024,32(01):43-52. DOI: 10.37188/OPE.20243201.0043.

  •  
  •  

0

Views

480

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

A self correcting low-light object detection method based on pyramid edge enhancement
Integrated 2D-3D LiDAR-vision fusion vehicle speed estimation based on image frustum
Aircraft target detection in SAR images based on MA-DETR
Visual inspection of soldering defects on board surfaces against complex backgrounds
Few-shot warhead fragment group object detection based on feature reassembly and attention

Related Author

JIANG Zhanjun
WU Baijing
MA Long
LIAN Jing
ZHOU Kuiyu
HUANG Yuchun
YANG He
LI Na

Related Institution

School of Electronics & Information Engineering,Lanzhou Jiaotong University
Troops of PLA
Transportation Development Center of Henan Province
School of Remote Sensing and Information Engineering, Wuhan University
Shanghai Key Laboratory of Space-based Heterogeneous Network Collaborative Computing, Shanghai Aerospace Electronic Communication Equipment Research Institute
0