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Thin-film image sensors with a pinned photodiode structure

Authors
Lee, JiwonGeorgitzikis, EpimitheasHermans, YannickPapadopoulos, NikolasChandrasekaran, NareshJin, MinhyunSiddik, Abu BakarDe Roose, FlorianUytterhoeven, GrietKim, Joo HyoungPuybaret, RenaudLi, YunlongPejovic, VladimirKarve, GauriCheyns, DavidGenoe, JanMalinowski, Pawel E.Heremans, PaulMyny, Kris
Issue Date
Aug-2023
Publisher
NATURE PUBLISHING GROUP
Citation
Nature Electronics, v.6, no.8, pp 590 - 598
Pages
9
Indexed
SCIE
SCOPUS
Journal Title
Nature Electronics
Volume
6
Number
8
Start Page
590
End Page
598
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/115283
DOI
10.1038/s41928-023-01016-9
ISSN
2520-1131
Abstract
Organic semiconductor and colloidal quantum-dot-based thin-film image sensors show reduced noise, dark current and image lag when a pinned photodiode pixel structure, similar to those in silicon-based image sensors, is used. Image sensors made using silicon complementary metal-oxide-semiconductor technology can be found in numerous electronic devices and typically rely on pinned photodiode structures. Photodiodes based on thin films can have a high absorption coefficient and a wider wavelength range than silicon devices. However, their use in image sensors has been limited by high kTC noise, dark current and image lag. Here we show that thin-film-based image sensors with a pinned photodiode structure can have comparable noise performance to a silicon pinned photodiode pixel. We integrate either a visible-to-near-infrared organic photodiode or a short-wave infrared colloidal quantum dot photodiode with a thin-film transistor and silicon readout circuitry. The thin-film pinned photodiode structures exhibit low kTC noise, suppressed dark current, high full-well capacity and high electron-to-voltage conversion gain, as well as preserving the benefits of the thin-film materials. An image sensor based on the organic absorber has a quantum efficiency of 54% at 940 nm and read noise of 6.1e(-).
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COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY > DEPARTMENT OF PHOTONICS AND NANOELECTRONICS > 1. Journal Articles

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