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Inverse deep learning methods and benchmarks for artificial electromagnetic material design

Research article (Nanoscale, 2022) · cited 41× · AI/ML
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Inverse deep learning methods and benchmarks for artificial electromagnetic material design

Summary

Inverse deep learning methods and benchmarks for artificial electromagnetic material design is a scholarly article[1].

Key Facts

  • Inverse deep learning methods and benchmarks for artificial electromagnetic material design's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Inverse deep learning methods and benchmarks for artificial electromagnetic material design. Retrieved May 24, 2026, from https://4ort.xyz/entity/inverse-deep-learning-methods-and-benchmarks-for-artificial-electromagnetic-material-design
MLA “Inverse deep learning methods and benchmarks for artificial electromagnetic material design.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/inverse-deep-learning-methods-and-benchmarks-for-artificial-electromagnetic-material-design.
BibTeX @misc{4ortxyz_inverse-deep-learning-methods-and-benchmarks-for-artificial-electromagnetic-material-design_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Inverse deep learning methods and benchmarks for artificial electromagnetic material design}}, year = {2026}, url = {https://4ort.xyz/entity/inverse-deep-learning-methods-and-benchmarks-for-artificial-electromagnetic-material-design}, note = {Accessed: 2026-05-24}}
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