Role of neutral impurities and non-parabolic dispersive electrons in HgCdTe avalanche photodiodes

HgCdTe avalanche photodiodes (APDs) exhibit unique gain stability, making them advantageous for weak signal detection. However, research on neutral impurities (NIs) scattering in HgCdTe remains limited, and the non-parabolic electron dynamics pose significant error in current device scale models. These limitations hinder the theoretical and the industrial development of HgCdTe APD. Here, we designed Si-substrate devices and CdZnTe-substrate devices with high and low NI density, respectively, to clarify the role of NIs. Combining first-principle calculations with Monte Carlo transport simulations, we find that the avalanching electrons could be categorized into four types (I-IV below) with distinct behavior. Furthermore, we proposed a step-solving Monte Carlo (SSMC) simulation framework to resolve accurately electron trajectories with non-parabolic dispersion. We then clarify different contemporary models of impact ionization and polar optical phonon scattering with SSMC and experimental results. Notably, our findings also show that Si-substrate HgCdTe APDs show nearly the same avalanche performance as the classical CdZnTe ones, suggesting that they could play a pivotal role in high-performance infrared detection in the future.

Authors

Institutions

Publication Details

Journal
Optics Letters
Published
2025-03-20
DOI
https://doi.org/10.1364/ol.554273
Citations
6
Primary Topic
Advanced Semiconductor Detectors and Materials
Type
article
Field-Weighted Citation Impact
4.38
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Role of neutral impurities and non-parabolic dispersive electrons in HgCdTe avalanche photodiodes

Qianlong Kang, Hong Ge, Xiaohao Zhou, Hao Xie et al.
6 citations
Optics Letters
Advanced Semiconductor Detectors and Materials
4.38
article

Role of neutral impurities and non-parabolic dispersive electrons in HgCdTe avalanche photodiodes

Qianlong Kang, Hong Ge, Xiaohao Zhou, Hao Xie, Anjin Liu Anjin Liu, Weida Hu, Shuning Liu, Xun Ge, Chuan Shen, Runzhang Xie, Qing Li, Lu Chen, Xiwen Liu, Min Luo
article en
6 citations

Abstract

HgCdTe avalanche photodiodes (APDs) exhibit unique gain stability, making them advantageous for weak signal detection. However, research on neutral impurities (NIs) scattering in HgCdTe remains limited, and the non-parabolic electron dynamics pose significant error in current device scale models. These limitations hinder the theoretical and the industrial development of HgCdTe APD. Here, we designed Si-substrate devices and CdZnTe-substrate devices with high and low NI density, respectively, to clarify the role of NIs. Combining first-principle calculations with Monte Carlo transport simulations, we find that the avalanching electrons could be categorized into four types (I-IV below) with distinct behavior. Furthermore, we proposed a step-solving Monte Carlo (SSMC) simulation framework to resolve accurately electron trajectories with non-parabolic dispersion. We then clarify different contemporary models of impact ionization and polar optical phonon scattering with SSMC and experimental results. Notably, our findings also show that Si-substrate HgCdTe APDs show nearly the same avalanche performance as the classical CdZnTe ones, suggesting that they could play a pivotal role in high-performance infrared detection in the future.

Optics LettersVol. 50(8)
Chinese Academy of Sciences (CN), California University of Pennsylvania (US), Institute for Advanced Study (DE)
Openalex Percentile: Top 6%
Advanced Semiconductor Detectors and Materials
4.38
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.