Picosecond Dexter-Type Energy Transfer in Device-Grade InAs Quantum Dot Films

InAs quantum dots (QDs) have emerged as a promising replacement for highly toxic lead- and mercury-based QDs for infrared optoelectronic devices. In order to understand the performance of InAs QD-devices and exploit their full potential, it is essential to elucidate the mechanisms of exciton migration or energy transfer in the films of InAs QDs, which, however, have remained lacking. Here we investigate exciton transfer dynamics in device-grade InAs QD films used in infrared photodetectors using femtosecond transient absorption spectroscopy. Interdot distances were precisely controlled by using InAs QDs of different sizes capped with ligands of varying lengths. Through minimizing interdot distances with halide ligands, we observed an energy transfer time constant as short as 1.7 ps. The distance dependence of the energy transfer rates was found to follow a Dexter-like mechanism with a damping coefficient of β = 0.31 ± 0.03 Å<sup>-1</sup>, which is a relatively small value compared to prior charge/energy transfer studies enabled by the strongly delocalized exciton wave functions of InAs QDs. These results provide hitherto lacking fundamental insights into the energy transfer/migration mechanisms inside device-grade InAs QD films, with direct relevance to optoelectronic devices ranging from photodetectors and solar cells to light-emitting diodes.

Authors

Institutions

Publication Details

Journal
The Journal of Physical Chemistry Letters
Published
2025-04-03
DOI
https://doi.org/10.1021/acs.jpclett.5c00697
Primary Topic
Semiconductor Quantum Structures and Devices
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Picosecond Dexter-Type Energy Transfer in Device-Grade InAs Quantum Dot Films

Kaifeng Wu, Mostafa F. Abdelbar, Chengming Nie, Jingyi Zhu et al.
The Journal of Physical Chemistry Letters
Semiconductor Quantum Structures and Devices
article

Picosecond Dexter-Type Energy Transfer in Device-Grade InAs Quantum Dot Films

Kaifeng Wu, Mostafa F. Abdelbar, Chengming Nie, Jingyi Zhu, Yupeng Yang, Xia Pan, Jiawei Gui
article en

Abstract

InAs quantum dots (QDs) have emerged as a promising replacement for highly toxic lead- and mercury-based QDs for infrared optoelectronic devices. In order to understand the performance of InAs QD-devices and exploit their full potential, it is essential to elucidate the mechanisms of exciton migration or energy transfer in the films of InAs QDs, which, however, have remained lacking. Here we investigate exciton transfer dynamics in device-grade InAs QD films used in infrared photodetectors using femtosecond transient absorption spectroscopy. Interdot distances were precisely controlled by using InAs QDs of different sizes capped with ligands of varying lengths. Through minimizing interdot distances with halide ligands, we observed an energy transfer time constant as short as 1.7 ps. The distance dependence of the energy transfer rates was found to follow a Dexter-like mechanism with a damping coefficient of β = 0.31 ± 0.03 Å<sup>-1</sup>, which is a relatively small value compared to prior charge/energy transfer studies enabled by the strongly delocalized exciton wave functions of InAs QDs. These results provide hitherto lacking fundamental insights into the energy transfer/migration mechanisms inside device-grade InAs QD films, with direct relevance to optoelectronic devices ranging from photodetectors and solar cells to light-emitting diodes.

The Journal of Physical Chemistry LettersVol. 16(14)
University of Science and Technology of China (CN), Dalian Institute of Chemical Physics (CN), Chinese Academy of Sciences (CN), Dynamique du noyau (FR), University of Chinese Academy of Sciences (CN), State Key Laboratory of Molecular Reaction Dynamics
National Natural Science Foundation of China, Chinese Academy of Sciences, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 95%
Semiconductor Quantum Structures and Devices
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.