activity
20192026
most citedMultifunctional Metasurface Design with a Generative Adversarial Network

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

collaborators

9 papers

eess.SP2026

A Fully Reconfigurable RF Vector Modulator based Wideband Phase Shifter for NextG Beamforming Phased Array in Satellite Communications (SATCOM)

Hanxiang Zhang, Hao Yan, Hong Tang +7

This paper presents a fully reconfigurable RF vector modulator (RFVM)-based phase shifter for wideband beamforming phased array of 6G/NextG satellite communication (SATCOM). It cov…

cs.AI2026★ 2 cited

A Self-Evolving Agentic Framework for Metasurface Inverse Design

Yi Huang, Bowen Zheng, Yunxi Dong +4

Metasurface inverse design can realize complex optical functionality, but turning a target optical response into executable optimization code still requires substantial expertise i…

physics.comp-ph2025★ 6 cited

MCP-Enabled LLM for Meta-optics Inverse Design: Leveraging Differentiable Solver without LLM Expertise

Yi Huang, Bowen Zheng, Yunxi Dong +5

Automatic differentiation (AD) enables powerful metasurface inverse design but requires extensive theoretical and programming expertise. We present a Model Context Protocol (MCP) a…

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…

eess.SY2023

A holistically 3D-printed flexible millimeter-wave Doppler radar: Towards fully printed high-frequency multilayer flexible hybrid electronics systems

Hong Tang, Yingjie Zhang, Bowen Zheng +6

Flexible hybrid electronics (FHE) is an emerging technology enabled through the integration of advanced semiconductor devices and 3D printing technology. It unlocks tremendous mark…

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-…