Gated recurrent unit (GRU)-based deep learning method for spectrum estimation and inverse modeling in plasmonic devices
Summary
Gated recurrent unit (GRU)-based deep learning method for spectrum estimation and inverse modeling in plasmonic devices is a scholarly article[1].
Key Facts
Gated recurrent unit (GRU)-based deep learning method for spectrum estimation and inverse modeling in plasmonic devices's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Gated recurrent unit (GRU)-based deep learning method for spectrum estimation and inverse modeling in plasmonic devices. Retrieved May 24, 2026, from https://4ort.xyz/entity/gated-recurrent-unit-gru-based-deep-learning-method-for-spectrum-estimation-and-inverse-modeling-in-plasmonic-devices
MLA“Gated recurrent unit (GRU)-based deep learning method for spectrum estimation and inverse modeling in plasmonic devices.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gated-recurrent-unit-gru-based-deep-learning-method-for-spectrum-estimation-and-inverse-modeling-in-plasmonic-devices.
BibTeX@misc{4ortxyz_gated-recurrent-unit-gru-based-deep-learning-method-for-spectrum-estimation-and-inverse-modeling-in-plasmonic-devices_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Gated recurrent unit (GRU)-based deep learning method for spectrum estimation and inverse modeling in plasmonic devices}}, year = {2026}, url = {https://4ort.xyz/entity/gated-recurrent-unit-gru-based-deep-learning-method-for-spectrum-estimation-and-inverse-modeling-in-plasmonic-devices}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Gated recurrent unit (GRU)-based deep learning method for spectrum estimation and inverse modeling in plasmonic devices — https://4ort.xyz/entity/gated-recurrent-unit-gru-based-deep-learning-method-for-spectrum-estimation-and-inverse-modeling-in-plasmonic-devices (retrieved 2026-05-24)
