Data-driven metasurface discovery

by   Jiaqi Jiang, et al.

A long-standing challenge with metasurface design is identifying computationally efficient methods that produce high performance devices. Design methods based on iterative optimization push the performance limits of metasurfaces, but they require extensive computational resources that limit their implementation to small numbers of microscale devices. We show that generative neural networks can learn from a small set of topology-optimized metasurfaces to produce large numbers of high-efficiency, topologically-complex metasurfaces operating across a large parameter space. This approach enables considerable savings in computation cost compared to brute force optimization. As a model system, we employ conditional generative adversarial networks to design highly-efficient metagratings over a broad range of deflection angles and operating wavelengths. Generated device designs can be further locally optimized and serve as additional training data for network refinement. Our design concept utilizes a relatively small initial training set of just a few hundred devices, and it serves as a more general blueprint for the AI-based analysis of physical systems where access to large datasets is limited. We envision that such data-driven design tools can be broadly utilized in other domains of optics, acoustics, mechanics, and electronics.



There are no comments yet.


page 10

page 12

page 13


Progressive-Growing of Generative Adversarial Networks for Metasurface Optimization

Generative adversarial networks, which can generate metasurfaces based o...

Dataless training of generative models for the inverse design of metasurfaces

Metasurfaces are subwavelength-structured artificial media that can shap...

Generative Design by Reinforcement Learning: Maximizing Diversity of Topology Optimized Designs

Generative design is a design exploration process in which a large numbe...

Deep Generative Design: Integration of Topology Optimization and Generative Models

Deep learning has recently been applied to various research areas of des...

Generative Multi-Functional Meta-Atom and Metasurface Design Networks

Metasurfaces are being widely investigated and adopted for their promisi...

An AI-Assisted Design Method for Topology Optimization Without Pre-Optimized Training Data

In this publication, an AI-assisted design method based on topology opti...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.