残差编码器-解码器神经网络助力从场分布到超表面整体设计

残差编码器-解码器神经网络助力从场分布到超表面整体设计[J]. 光电工程, 2023, 50(9): 231009. doi: 10.12086/oee.2023.231009.h03
引用本文: 残差编码器-解码器神经网络助力从场分布到超表面整体设计[J]. 光电工程, 2023, 50(9): 231009. doi: 10.12086/oee.2023.231009.h03
Direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder convolutional neural network[J]. Opto-Electronic Engineering, 2023, 50(9): 231009. doi: 10.12086/oee.2023.231009.h03
Citation: Direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder convolutional neural network[J]. Opto-Electronic Engineering, 2023, 50(9): 231009. doi: 10.12086/oee.2023.231009.h03

残差编码器-解码器神经网络助力从场分布到超表面整体设计

Direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder convolutional neural network

计量
  • 文章访问数:  1245
  • PDF下载数:  502
  • 施引文献:  0
出版历程
刊出日期:  2023-11-03

目录

/

返回文章
返回