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High-Performance and Stable HgTe Colloidal Quantum Dot Photodiodes Enabled by Hybrid Passivation
Jing Liu1, Mohan Yuan1, Hang Xia1
1School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, Hubei 430074, People's Republic of China.
ACS Applied Materials & Interfaces
|April 27, 2026
Summary
A new hybrid passivation strategy using methylammonium iodide (MAI) and HgI2 enhances mercury telluride (HgTe) colloidal quantum dot (CQD) detectors. This improves performance and stability for next-generation infrared imagers.
Area of Science:
- Materials Science
- Nanotechnology
- Quantum Dot Technology
Background:
- Mercury telluride (HgTe) colloidal quantum dots (CQDs) are promising for low-cost infrared imagers.
- Current HgTe detectors face challenges in performance and stability.
- ZnO/HgTe/ZnTe double heterojunctions enable photovoltaic mode operation.
Purpose of the Study:
- To improve the performance and stability of HgTe CQD infrared detectors.
- To develop a novel passivation strategy for HgTe CQDs.
- To enable reliable integration of HgTe CQD detectors with readout circuits.
Main Methods:
- A hybrid passivation strategy using methylammonium iodide (MAI) and HgI2 was employed.
- This method generates X-type HgI3- ligands for surface passivation.
- HgTe CQD detectors were fabricated and characterized, including integration with thin-film transistor (TFT) readout circuits.
Main Results:
- Hybrid passivated HgTe CQDs showed enhanced colloidal stability and surface passivation.
- The photodetector achieved 66.8% external quantum efficiency (EQE) at 1620 nm.
- Specific detectivity reached 1.45 × 10^12 Jones with a dark current density of 185 nA/cm^2.
- Enhanced detector stability was confirmed at single-pixel and array levels.
Conclusions:
- The hybrid passivation strategy effectively enhances HgTe CQD detector performance and stability.
- This approach offers a viable solution for next-generation infrared imaging applications.
- The improved detectors are suitable for integration into larger imaging arrays.

