Design of high transmission color filters for solar cells directed by deep Q-learning

Iman Sajedian, Heon Lee, Junsuk Rho

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In this paper, we have used deep Q-learning networks (DQN) to find a colored coating for solar cells with high transmission. A basic structure with a huge range of possibilities was given to DQN, and it was designed to find the best structures fitting our purpose. The number of possibilities given to the model was more than 12 billion. Our model could find the structures with higher transmission and deeper colors compared to other human researchers in around 32,000 steps. Our numerical results cover a large area of color gamut which can be used for aesthetic purposes.

Original languageEnglish
Pages (from-to)670-676
Number of pages7
JournalSolar Energy
Volume195
DOIs
Publication statusPublished - 2020 Jan 1

Keywords

  • Building integrated photovoltaics
  • Colored solar cells
  • Deep Q-learning
  • Neural networks

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Materials Science(all)

Fingerprint Dive into the research topics of 'Design of high transmission color filters for solar cells directed by deep Q-learning'. Together they form a unique fingerprint.

  • Cite this