From 3D to 2D and Back Again

Overview

Journal Nanophotonics

Publisher De Gruyter

Date 2024 Dec 5

PMID 39634355

Authors

Niyazi Ulas Dinc

Amirhossein Saba

Jorge Madrid-Wolff

Carlo Gigli

Antoine Boniface

Christophe Moser

Demetri Psaltis

Affiliations

Soon will be listed here.

Abstract

The prospect of massive parallelism of optics enabling fast and low energy cost operations is attracting interest for novel photonic circuits where 3-dimensional (3D) implementations have a high potential for scalability. Since the technology for data input-output channels is 2-dimensional (2D), there is an unavoidable need to take 2D-nD transformations into account. Similarly, the 3D-2D and its reverse transformations are also tackled in a variety of fields such as optical tomography, additive manufacturing, and 3D optical memories. Here, we review how these 3D-2D transformations are tackled using iterative techniques and neural networks. This high-level comparison across different, yet related fields could yield a useful perspective for 3D optical design.

Citing Articles

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Dynamic interface printing.

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