Robust Light Detection from Ultraviolet to Near‐Infrared with ZnGa<sub>2</sub>O<sub>4</sub>/<i>p</i>‐Si Heterojunction Photodiode and Its Application for Optoelectronic Physically Unclonable Functions

Abstract The Si‐based self‐powered broadband photodiode (SSBP) is prized for its ability to swiftly detect light across a wide spectrum without requiring an external voltage. However, boosting its efficiency remains challenging due to its high refractive index and limited UV light penetration. A combination of Si with ZnGa 2 O 4 , an ultra‐wide‐bandgap spinel material, can bring new opportunities to address these shortcomings of SSBP. In this study, a ZnGa 2 O 4 / p ‐Si heterojunction photodiode is presented, which is capable of detecting UV to near‐infrared light autonomously. Operating without bias, this device exhibits excellent rectification and detects wavelengths from 265 to 1000 nm, achieving impressive performance metrics such as a photo‐to‐dark current ratio of 5.8 × 10 4 , response speed of less than 3 ms, responsivity of 117 mA W −1 , and specific detectivity of 5.5 × 10 12 Jones while the photodiode demonstrates exceptional stability and durability under harsh conditions. The versatility of this device is demonstrated by applying it to the optical imaging sensors and physically unclonable security devices. This study provides new inspirations for the development of the energy‐efficient and emerging optical sensing technologies.

Authors

Institutions

Publication Details

Journal
Advanced Electronic Materials
Published
2024-10-06
DOI
https://doi.org/10.1002/aelm.202400649
Citations
2
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
article
Field-Weighted Citation Impact
0.98

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Robust Light Detection from Ultraviolet to Near‐Infrared with ZnGa2O4/p‐Si Heterojunction Photodiode and Its Application for Optoelectronic Physically Unclonable Functions

Wonjun Shin, Byung Chul Jang, Wangmyung Choi, Jaehyun Hur et al.
2 citations
Advanced Electronic Materials
Physical Unclonable Functions (PUFs) and Hardware Security
0.98
article

Robust Light Detection from Ultraviolet to Near‐Infrared with ZnGa2O4/p‐Si Heterojunction Photodiode and Its Application for Optoelectronic Physically Unclonable Functions

Wonjun Shin, Byung Chul Jang, Wangmyung Choi, Jaehyun Hur, Yeongkwon Kim, Seungme Kang, Hocheon Yoo, Young‐Joon Kim, Yeong Jae Kim, Youngwoo Yoo
article en
2 citations

Abstract

Abstract The Si‐based self‐powered broadband photodiode (SSBP) is prized for its ability to swiftly detect light across a wide spectrum without requiring an external voltage. However, boosting its efficiency remains challenging due to its high refractive index and limited UV light penetration. A combination of Si with ZnGa 2 O 4 , an ultra‐wide‐bandgap spinel material, can bring new opportunities to address these shortcomings of SSBP. In this study, a ZnGa 2 O 4 / p ‐Si heterojunction photodiode is presented, which is capable of detecting UV to near‐infrared light autonomously. Operating without bias, this device exhibits excellent rectification and detects wavelengths from 265 to 1000 nm, achieving impressive performance metrics such as a photo‐to‐dark current ratio of 5.8 × 10 4 , response speed of less than 3 ms, responsivity of 117 mA W −1 , and specific detectivity of 5.5 × 10 12 Jones while the photodiode demonstrates exceptional stability and durability under harsh conditions. The versatility of this device is demonstrated by applying it to the optical imaging sensors and physically unclonable security devices. This study provides new inspirations for the development of the energy‐efficient and emerging optical sensing technologies.

Advanced Electronic MaterialsVol. 10(11)
Gachon University (KR), Kyungpook National University (KR), Korea Institute of Ceramic Engineering and Technology (KR), Sungkyunkwan University (KR)
National Research Foundation of Korea
Affordable and clean energy
Openalex Percentile: Top 24%
Physical Unclonable Functions (PUFs) and Hardware Security
0.98
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.