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- Publisher Website: 10.1109/VLSITechnologyandCir46769.2022.9830520
- Scopus: eid_2-s2.0-85135216501
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Conference Paper: First Demonstration of High-Sensitivity (NEP<1fWHz-1/2) Back-Illuminated Active-Matrix Deep UV Image Sensor by Monolithic Integration of Ga2 O3 Photodetectors and Oxide Thin-Film-Transistors
| Title | First Demonstration of High-Sensitivity (NEP<1fWHz<sup>-1/2</sup>) Back-Illuminated Active-Matrix Deep UV Image Sensor by Monolithic Integration of Ga<inf>2</inf>O<inf>3</inf>Photodetectors and Oxide Thin-Film-Transistors |
|---|---|
| Authors | |
| Keywords | Ga O 2 3 IGZO image sensor monolithic |
| Issue Date | 2022 |
| Citation | Digest of Technical Papers - Symposium on VLSI Technology, 2022, v. 2022-June, p. 345-346 How to Cite? |
| Abstract | We, for the first time, demonstrated a back-illuminated active-matrix deep UV (DUV) image sensor by monolithically integrating an ultra-wide bandgap (UWBG) Ga2O3 photodetector (PD) array and IGZO thin-film-transistors (TFT) based on a low temperature back-end-of-line (BEOL) process. Benefited from the low off-state current of 10-13A, high on/off ratio of 5×108, and high stability of IGZO TFTs, the integrated PD/TFT sensor cell presents super-high sensitivity with NEP down to 1fWHz-1/2 with a high responsivity and specific detectivity of 302A/W and 1.7×1015Jones, respectively. The 32×32 DUV image sensor shows excellent uniformity and demonstrates a superior image recognition ability with light intensity down to 2 W/cm2. This scalable, high-resolution DUV image sensor shows great promise for advanced imaging and machine vision applications. |
| Persistent Identifier | http://hdl.handle.net/10722/352300 |
| ISSN | 2023 SCImago Journal Rankings: 0.911 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Qin, Yuan | - |
| dc.contributor.author | Lu, Congyan | - |
| dc.contributor.author | Yu, Zhaoan | - |
| dc.contributor.author | Yao, Zhihong | - |
| dc.contributor.author | Wu, Feihong | - |
| dc.contributor.author | Dong, Danian | - |
| dc.contributor.author | Zhao, Xiaolong | - |
| dc.contributor.author | Xu, Guangwei | - |
| dc.contributor.author | Zhang, Yuhao | - |
| dc.contributor.author | Long, Shibing | - |
| dc.contributor.author | Li, Ling | - |
| dc.contributor.author | Liu, Ming | - |
| dc.date.accessioned | 2024-12-16T03:57:55Z | - |
| dc.date.available | 2024-12-16T03:57:55Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.citation | Digest of Technical Papers - Symposium on VLSI Technology, 2022, v. 2022-June, p. 345-346 | - |
| dc.identifier.issn | 0743-1562 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/352300 | - |
| dc.description.abstract | We, for the first time, demonstrated a back-illuminated active-matrix deep UV (DUV) image sensor by monolithically integrating an ultra-wide bandgap (UWBG) Ga2O3 photodetector (PD) array and IGZO thin-film-transistors (TFT) based on a low temperature back-end-of-line (BEOL) process. Benefited from the low off-state current of 10-13A, high on/off ratio of 5×108, and high stability of IGZO TFTs, the integrated PD/TFT sensor cell presents super-high sensitivity with NEP down to 1fWHz-1/2 with a high responsivity and specific detectivity of 302A/W and 1.7×1015Jones, respectively. The 32×32 DUV image sensor shows excellent uniformity and demonstrates a superior image recognition ability with light intensity down to 2 W/cm2. This scalable, high-resolution DUV image sensor shows great promise for advanced imaging and machine vision applications. | - |
| dc.language | eng | - |
| dc.relation.ispartof | Digest of Technical Papers - Symposium on VLSI Technology | - |
| dc.subject | Ga O 2 3 | - |
| dc.subject | IGZO | - |
| dc.subject | image sensor | - |
| dc.subject | monolithic | - |
| dc.title | First Demonstration of High-Sensitivity (NEP<1fWHz<sup>-1/2</sup>) Back-Illuminated Active-Matrix Deep UV Image Sensor by Monolithic Integration of Ga<inf>2</inf>O<inf>3</inf>Photodetectors and Oxide Thin-Film-Transistors | - |
| dc.type | Conference_Paper | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1109/VLSITechnologyandCir46769.2022.9830520 | - |
| dc.identifier.scopus | eid_2-s2.0-85135216501 | - |
| dc.identifier.volume | 2022-June | - |
| dc.identifier.spage | 345 | - |
| dc.identifier.epage | 346 | - |
