The inverse design of structural color using machine learning-Reference-Cited by-同舟云学术

The inverse design of structural color using machine learning

Published:2019 Issue:45 Volume:11 Page:21748-21758
ISSN:2040-3364
Container-title:Nanoscale
language:en
Short-container-title:Nanoscale

Author:

Huang Zhao¹²³⁴⁵,Liu Xin¹²³⁴⁵,Zang Jianfeng¹²³⁴⁵^ORCID

Affiliation:

1. School of Optical and Electronic Information and Wuhan National Laboratory for Optoelectronics

2. Huazhong University of Science and Technology

3. Wuhan

4. China

5. Innovation Institute

Abstract

Using machine learning, the inverse design of color printing is efficiently achieved. For a desired color, a suitable geometry is finally found through reinforcement learning.

Funder

National Basic Research Program of China

National Natural Science Foundation of China

Wuhan National Laboratory for Optoelectronics

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science

Link

http://pubs.rsc.org/en/content/articlepdf/2019/NR/C9NR06127D

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