Ultralow Dark Current and High‐Detectivity Infrared Phototransistors Enabled by Small‐Diameter Semiconducting Carbon Nanotubes

Abstract Due to their internal gain mechanism, emerging nanomaterial‐based infrared phototransistors show significant promise for highly sensitive detection; however, they usually suffer from high dark current ( I dark ) and thus high noise, which restricts the actual detection capability of the detector. Here, a semiconducting carbon nanotube (CNT) film‐based phototransistor is proposed with an ultralow I dark and a high response through the adoption of stacked ZnO/PbS colloidal quantum dot heterojunctions as the photogate to absorb the infrared photons and generate a photovoltage. Solution‐derived semiconducting CNTs with diameters ranging from 0.8 to 1.1 nm are utilized to create a network film that serves as the active channel of the transistor and provides an off‐state current as low as ≈50 fA; this enables an ultralow dark current (pA level) in the infrared phototransistor. By tuning the back‐gate bias, the synergistic modulation is demonstrated of the sensor response and electronic noise and achieve a high detectivity of 5.7 × 10 13 Jones under an incident power density of 0.81 nW cm −2 and 1300 nm infrared radiation. These findings provide a promising approach for attaining weak light infrared detection based on nanomaterial‐based photodetectors.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2024-09-05
DOI
https://doi.org/10.1002/adfm.202408368
Citations
11
Primary Topic
CCD and CMOS Imaging Sensors
Type
article
Field-Weighted Citation Impact
2.30

Funders

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

Ultralow Dark Current and High‐Detectivity Infrared Phototransistors Enabled by Small‐Diameter Semiconducting Carbon Nanotubes

Xuelei Liang, Shaoyuan Zhou, Jianbing Zhang, Maguang Zhu et al.
11 citations
Advanced Functional Materials
CCD and CMOS Imaging Sensors
2.30
article

Ultralow Dark Current and High‐Detectivity Infrared Phototransistors Enabled by Small‐Diameter Semiconducting Carbon Nanotubes

Xuelei Liang, Shaoyuan Zhou, Jianbing Zhang, Maguang Zhu, Chengjie Deng, Xiaolu Xia, Xinyue Zhang, Ying Wang, Zhiyong Zhang, Lan Bai, Yu Cao, Dijie Zhang
article en
11 citations

Abstract

Abstract Due to their internal gain mechanism, emerging nanomaterial‐based infrared phototransistors show significant promise for highly sensitive detection; however, they usually suffer from high dark current ( I dark ) and thus high noise, which restricts the actual detection capability of the detector. Here, a semiconducting carbon nanotube (CNT) film‐based phototransistor is proposed with an ultralow I dark and a high response through the adoption of stacked ZnO/PbS colloidal quantum dot heterojunctions as the photogate to absorb the infrared photons and generate a photovoltage. Solution‐derived semiconducting CNTs with diameters ranging from 0.8 to 1.1 nm are utilized to create a network film that serves as the active channel of the transistor and provides an off‐state current as low as ≈50 fA; this enables an ultralow dark current (pA level) in the infrared phototransistor. By tuning the back‐gate bias, the synergistic modulation is demonstrated of the sensor response and electronic noise and achieve a high detectivity of 5.7 × 10 13 Jones under an incident power density of 0.81 nW cm −2 and 1300 nm infrared radiation. These findings provide a promising approach for attaining weak light infrared detection based on nanomaterial‐based photodetectors.

Advanced Functional MaterialsVol. 34(48)
Peking University (CN), Beijing Jiaotong University (CN), Wuhan National Laboratory for Optoelectronics (CN), Huazhong University of Science and Technology (CN), Nanjing University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 11%
CCD and CMOS Imaging Sensors
2.30
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.