journal article·2025-07-23

Revealing the Effects of Inert Annealing on Low-Noise Near-Infrared Organic Photodetectors via Precise Trap and Noise Characterization

Yusaku Tagawa, Ryota Fukuzawa, Takao Someya, Tomoyuki Yokota

ACS Applied Materials & Interfaces· Volume 17· Issue 29
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Abstract

Abstract The utilization of near-infrared (NIR) organic photodetectors (OPDs) holds considerable promise, primarily owing to their solution processability and flexibility characteristics. The recent reduction of dark current in the NIR-OPDs is critical for achieving high performance in OPDs using the narrow bandgap of the active layer. However, recent NIR-OPDs with excellent low-dark current exhibit measurement limitations, particularly regarding noise and trap measurements, which are crucial for evaluating specific detectivity and understanding the physics of the NIR-OPDs. This study comprehensively analyzes precise noise and trap measurements at varying inert annealing temperatures applied to the electron-transport layer. The optimized annealing process led to a high specific detectivity of 1.3 × 1013 cm Hz1/2 W–1 at 850 nm and a low trap density of 9.9 × 1013 cm–3 at a shallow-trap-energy level of 0.37 eV. The inert annealing process offers an example of typical issues, such as water-induced trap analysis. Our research explains some pitfalls of noise and trap measurements, addresses them adequately, and demonstrates their limitations. Noise-spectrum measurements should be conducted in a specific range limited by the shot-noise current and the gain bandwidth. In addition, the shallow and slight trap-density reduction can be captured by capacitance–voltage and capacitance–frequency measurements using a series resistance correction. The adequate measurement settings play a vital role in extracting the key physical characteristics of the recent high-performance OPD.
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Research context

OpenAlex topics: Organic Electronics and Photovoltaics · Conducting polymers and applications · Analytical Chemistry and Sensors

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

The University of Tokyo , , 7-3-1, Hongo , , ,

Funding

Japan Society for the Promotion of Science

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