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20192026
most citedMultifunctional Metasurface Design with a Generative Adversarial Network

25 citations · 70 across the 9 of their papers we have counts for

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Showing physics.opticsShow all

5 papers · 1 filter

physics.optics2023

High-fidelity achromatic metalens imaging via deep neural network

Yunxi Dong, Bowen Zheng, Hang Li +4

Meta-optics are attracting intensive interest as alternatives to traditional optical systems comprising multiple lenses and diffractive elements. Among applications, single metalen…

physics.optics2021★ 9 cited

Deep Convolutional Neural Networks to Predict Mutual Coupling Effects in Metasurfaces

Sensong An, Bowen Zheng, Mikhail Y. Shalaginov +13

Metasurfaces have provided a novel and promising platform for the realization of compact and large-scale optical devices. The conventional metasurface design approach assumes perio…

physics.optics2020★ 15 cited

A Freeform Dielectric Metasurface Modeling Approach Based on Deep Neural Networks

Sensong An, Bowen Zheng, Mikhail Y. Shalaginov +12

Metasurfaces have shown promising potentials in shaping optical wavefronts while remaining compact compared to bulky geometric optics devices. Design of meta-atoms, the fundamental…

physics.optics2019★ 25 cited

Multifunctional Metasurface Design with a Generative Adversarial Network

Sensong An, Bowen Zheng, Hong Tang +7

Metasurfaces have enabled precise electromagnetic wave manipulation with strong potential to obtain unprecedented functionalities and multifunctional behavior in flat optical devic…

physics.optics2019★ 13 cited

A Novel Modeling Approach for All-Dielectric Metasurfaces Using Deep Neural Networks

Sensong An, Clayton Fowler, Bowen Zheng +11

Metasurfaces have become a promising means for manipulating optical wavefronts in flat and high-performance optical devices. Conventional metasurface device design relies on trial-…