Color-Filter-Free Image Sensor Using CsPbBr₃ Quantum-Dot-Based Tamm Plasmon Photodetector for Photonic Synapse Facial Recognition

Meng-Cheng Yen ^1,2, Yung-Chi Yao ², Chia-Jung Lee ²

⁰Graduate Institute of Photonics and Optoelectronics, Department of Electrical Engineering, National Taiwan University (NTU), No. 1, Sec. 4, Roosevelt Road, Taipei, 10617, Taiwan.

Advanced Science (weinheim, Baden-Wurttemberg, Germany) +

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June 25, 2025

View abstract on PubMed

Summary

Researchers enhanced optical absorption in perovskite quantum dots using Tamm plasmon structures. This breakthrough enables efficient, filter-free image sensors and photonic neural computing for applications like facial recognition.

Area Of Science

Optoelectronics
Materials Science
Nanotechnology

Background

Perovskite quantum dots (PQDs) offer unique optical properties.
Tamm plasmon (TP) structures can enhance light-matter interactions.
Developing efficient, compact image sensors is a key technological goal.

Purpose Of The Study

To enhance optical absorption of CsPbBr3 quantum dots (QDs) via integration with a Tamm plasmon (TP) structure.
To investigate the performance of the resulting TP photodetector for image sensing and neural computation.
To demonstrate the potential for color-filter-free image sensing and photonic neural networks.

Main Methods

Monolithic integration of CsPbBr3 QDs with a TP structure.
Fabrication and characterization of TP photodetectors.
Simulation of facial recognition using a TP photodetector array and artificial neural networks.

Main Results

Significantly enhanced optical absorption of QDs at resonant energy.
Higher photocurrent and more linear power dependence in TP photodetectors compared to nonresonant devices.
Demonstrated regulation of photocurrent mimicking synaptic dynamics.
Successful simulation of facial recognition using a 64x64 TP photodetector array.

Conclusions

TP-integrated QDs offer a pathway to compact, color-filter-free image sensors.
The developed photodetector exhibits potential for mimicking biological neural functions.
This work advances the use of perovskite materials in optoelectronics and photonic neural computing.

Keywords:

CsPbBr3 Tamm plasmon image sensor neuromorphic computing photodetector quantum dots