Full color generation with Fano-type resonant HfO2 nanopillars designed by a deep-learning approach

Abstract

Here, for the first time to our knowledge, a Fano resonance metasurface made of HfO2 is experimentally demonstrated to generate a wide range of colors. We use a novel deep-learning technique to design and optimize the metasurface.

Document Details

• Document Type: Pub Defense Publication
• Publication Date: Jan 01, 2019
• Source ID: 10.1039/c9nr07408b

Entities

People

• Ali Adibi
• Mohammadreza Zandehshahvar
• Omid Hemmatyar
• Sajjad Abdollahramezani
• Yashar Kiarashinejad

Organizations

• Georgia Tech
• National Science Foundation
• Office of Naval Research
• United States Army

Tags

Fields of Study

• Physics

Readers

• Medical Imaging.
• Neural Network Machine Learning.
• Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.

Technology Areas

• AI & ML
• AI & ML - Neural Networks
• Microelectronics