Machine Learning: TCO‐Based Active Dielectric Metasurfaces Design by Conditional Generative Adversarial Networks (Adv. Theory Simul. 2/2021). Issue 2 (4th February 2021)

• Record Type: Journal Article
• Authors: Jafar‐Zanjani, Samad; Salary, Mohammad Mahdi; Huynh, Dat; Elhamifar, Ehsan; Mosallaei, Hossein
• Is Part Of: Advanced theory and simulations. Volume 4:Issue 2(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-02-04
• Subjects: Science -- Simulation methods -- Periodicals; Science -- Methodology -- Periodicals; Engineering -- Simulation methods -- Periodicals; Engineering -- Methodology -- Periodicals; 507.21
• DOI: 10.1002/adts.202170003
• Languages: English
• ISSNs: 2513-0390

Abstract

Abstract : In article 2000196, Hossein Mosallaei and co‐workers propose a machine learning (ML) method for broad‐band multi‐modal inverse design of TCO‐based active metasurfaces. Their proposed technique is a combination of a K‐means clustering algorithm and conditional generative adversarial networks (cGANs). It casts light on how ML models can solve inverse‐design problems and the level of intelligence they can provide.