A deep learning-driven forward and inverse cooperative network for circular dichroism in chiral metasurfaces

A fully connected forward and inverse collaborative network was utilized for implementing the prediction of structural parameters and circular dichroism of the chiral metasurface.

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Publication Details

Journal
Journal of Materials Chemistry C
Published
2025-01-01
DOI
https://doi.org/10.1039/d4tc05140h
Citations
6
Primary Topic
Metamaterials and Metasurfaces Applications
Type
article
Field-Weighted Citation Impact
2.56
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article

A deep learning-driven forward and inverse cooperative network for circular dichroism in chiral metasurfaces

Bin Tang, Zongli Hu, Kun Hu
6 citations
Journal of Materials Chemistry C
Metamaterials and Metasurfaces Applications
2.56
article

A deep learning-driven forward and inverse cooperative network for circular dichroism in chiral metasurfaces

Bin Tang, Zongli Hu, Kun Hu
article en
6 citations

Abstract

A fully connected forward and inverse collaborative network was utilized for implementing the prediction of structural parameters and circular dichroism of the chiral metasurface.

Journal of Materials Chemistry CVol. 13(19)
Hohai University (CN), Changzhou University (CN)
Openalex Percentile: Top 10%
Metamaterials and Metasurfaces Applications
2.56
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