Machine learning design of 2D material integrated optical polarizers

On-chip integration of highly anisotropic two-dimensional (2D) materials offers new opportunities for realizing high-performance polarization-selective devices. Obtaining optimized designs for such devices requires extensively sweeping large parameter

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Published
2025-10-02
DOI
https://doi.org/10.36227/techrxiv.175944042.27302970/v1
Primary Topic
Photonic and Optical Devices
Type
article
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Machine learning design of 2D material integrated optical polarizers

David Moss
Photonic and Optical Devices
article

Machine learning design of 2D material integrated optical polarizers

David Moss
article en

Abstract

On-chip integration of highly anisotropic two-dimensional (2D) materials offers new opportunities for realizing high-performance polarization-selective devices. Obtaining optimized designs for such devices requires extensively sweeping large parameter

Optical Sciences (United States) (US), Swinburne University of Technology (AU)
Openalex Percentile: Top 73%
Photonic and Optical Devices
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Machine learning design of 2D material integrated optical polarizers — David Moss · (2025) | TGRS Research Map | TGRS