15 citations · 49 across the 5 of their papers we have counts for
6 papers
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…
Nonlinear Mid-infrared Metasurface based on a Phase-Change Material
Fuyong Yue, Riccardo Piccoli, Mikhail Y. Shalaginov +5
The mid-wave infrared (MWIR) spectral region (3-5 μm) is important to a vast variety of applications in imaging, sensing, spectroscopy, surgery, and optical communications. Efficie…
Multi-level Electro-thermal Switching of Optical Phase-Change Materials Using Graphene
Carlos Ríos, Yifei Zhang, Mikhail Shalaginov +13
Reconfigurable photonic systems featuring minimal power consumption are crucial for integrated optical devices in real-world technology. Current active devices available in foundri…
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…
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-…
Extreme Broadband Transparent Optical Phase Change Materials for High-Performance Nonvolatile Photonics
Yifei Zhang, Jeffrey B. Chou, Junying Li +18
Optical phase change materials (O-PCMs), a unique group of materials featuring drastic optical property contrast upon solid-state phase transition, have found widespread adoption i…