Inverse design of organic light-emitting diode structure based on deep neural networks

Inverse design of organic light-emitting diode structure based on deep neural networks

The optical properties of thin-film light emitting diodes (LEDs) are strongly dependent on their structures due to light interference inside the devices. However, the complexity of the design space grows exponentially with the number of design parameters, making it challenging to optimize the optica...

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Bibliographic Details
Main Authors: Kim Sanmun, Shin Jeong Min, Lee Jaeho, Park Chanhyung, Lee Songju, Park Juho, Seo Dongjin, Park Sehong, Park Chan Y., Jang Min Seok
Format: Article
Language:English
Published: De Gruyter 2021-11-01
Series:Nanophotonics
Subjects:
deep neural network
genetic algorithm
inverse design
light extraction efficiency
organic light-emitting diodes
Online Access:https://doi.org/10.1515/nanoph-2021-0434

Internet

https://doi.org/10.1515/nanoph-2021-0434

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