Efficient inverse design and spectrum prediction for nanophotonic devices based on deep recurrent neural networks

Research article (Nanotechnology, 2021) · cited 25× · AI/ML
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Efficient inverse design and spectrum prediction for nanophotonic devices based on deep recurrent neural networks

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Efficient inverse design and spectrum prediction for nanophotonic devices based on deep recurrent neural networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Efficient inverse design and spectrum prediction for nanophotonic devices based on deep recurrent neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-inverse-design-and-spectrum-prediction-for-nanophotonic-devices-based-on-deep-recurrent-neural-networks
MLA “Efficient inverse design and spectrum prediction for nanophotonic devices based on deep recurrent neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-inverse-design-and-spectrum-prediction-for-nanophotonic-devices-based-on-deep-recurrent-neural-networks.
BibTeX @misc{4ortxyz_efficient-inverse-design-and-spectrum-prediction-for-nanophotonic-devices-based-on-deep-recurrent-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient inverse design and spectrum prediction for nanophotonic devices based on deep recurrent neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-inverse-design-and-spectrum-prediction-for-nanophotonic-devices-based-on-deep-recurrent-neural-networks}, note = {Accessed: 2026-05-24}}
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