POViT: Vision Transformer for Multi-objective Design and Characterization of Nanophotonic Devices

@article{Chen2022POViTVT,
  title={POViT: Vision Transformer for Multi-objective Design and Characterization of Nanophotonic Devices},
  author={Xinyu Chen and Renjie Li and Yueyao Yu and Yuanwen Shen and Wenye Li and Zhaoyu Zhang and Yin Zhang},
  journal={ArXiv},
  year={2022},
  volume={abs/2205.09045}
}
We solve a fundamental challenge in semiconductor IC design: the fast and accurate characterization of nanoscale photonic devices. Much like the fusion between AI and EDA, many efforts have been made to apply DNNs such as convolutional neural networks (CNN) to prototype and characterize next-gen optoelectronic devices commonly found in photonic integrated circuits (PICs). These prior works generally strive to predict the quality factor ( Q ) and modal volume ( V ) of for instance, photonic… 

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