Data driven approaches in nanophotonics: A review of AI-enabled metadevices

Q: What type of study is this?

This is a Literature Review study.

Huanshu Zhang; Lei Kang; Sawyer D. Campbell; J. Hunter Young; Douglas H. Werner

doi:10.1039/d5nr02043c

January 1, 2025NanoscaleOpen Access

Data driven approaches in nanophotonics: A review of AI-enabled metadevices

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Key Points

The integration of artificial intelligence enhances the optimization of nanophotonic metadevices.
Advanced design strategies derived from data-driven approaches significantly improve device performance.
A model-centric perspective helps in synthesizing effective design methods within nanophotonics.
This review emphasizes the transformative power of data-driven techniques in nanophotonic applications.

Implication

This review outlines data-driven methodologies for enhancing nanophotonic metadevices using AI, indicating their potential effectiveness.

Abstract

Data-driven approaches have revolutionized the design and optimization of photonic metadevices by harnessing advanced artificial intelligence methodologies. This review takes a model-centric perspective that synthesizes emerging design strategies and delineates...

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Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/68d9051b41e1c178a14f4d67 https://doi.org/10.1039/d5nr02043c

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Data driven approaches in nanophotonics: A review of AI-enabled metadevices

Key Points

Implication

Abstract

Discussion

Cite This Study

Data driven approaches in nanophotonics: A review of AI-enabled metadevices

Key Points

Implication

Abstract

Discussion

Cite This Study

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