Tailored Environment-Friendly Reverse Type-I Colloidal Quantum Dots for a Near-Infrared Optical Synapse and
Jingying Luo1, Xin Tong1,2,3,4,5, Shuai Yue6
1Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China.
ACS Nano
|October 21, 2024
Summary
Eco-friendly copper-doped ZnSe/InP quantum dots (QDs) enable near-infrared (NIR) photodetectors and artificial synapses. These QD devices offer enhanced performance and pave the way for safer optoelectronic applications.
Area of Science:
- Materials Science
- Nanotechnology
- Optoelectronics
Background:
- Colloidal quantum dots (QDs) offer tunable bandgaps and solution processability for optoelectronic devices.
- Existing near-infrared (NIR) photodetectors (PDs) often use heavy metals like lead (Pb) and mercury (Hg), posing environmental and health risks.
Purpose of the Study:
- To develop eco-friendly, heavy-metal-free QDs for NIR photodetectors and artificial optoelectronic synapses.
- To enhance the photoresponse range and performance of QDs through copper (Cu) doping.
Main Methods:
- Synthesized eco-friendly reverse type-I ZnSe/InP quantum dots (QDs) doped with copper (Cu).
- Utilized transient absorption spectroscopy to analyze the role of Cu dopant states.
- Fabricated and characterized photodetectors (PDs) and optoelectronic synapses using the synthesized QDs.
Main Results:
- Cu-doped ZnSe/InP QDs exhibited extended photoresponse from visible to NIR regions.
- Cu-doped QD PDs showed significantly enhanced responsivity (70.5 A W⁻¹) and detectivity (2.8 × 10¹¹ Jones) compared to undoped counterparts.
- Demonstrated synapse-like behaviors (STP, LTP, learning-forging-relearning) under NIR illumination.
Conclusions:
- Copper doping effectively enhances the performance of ZnSe/InP QDs for broadband photodetection.
- The developed QDs are suitable for creating eco-friendly optoelectronic devices, including artificial synapses.
- These QD-based devices show promise for simulating artificial visual systems in optical neuromorphic applications.


