Light-modulated low-frequency noise spectroscopy for deep-level defect characterization in Al-rich AlGaN heterostructures

Al-rich AlxGaN (x > 0.4) heterostructures are pivotal building blocks for high-voltage power electronic and deep ultraviolet optoelectronic devices, yet deep-level defect characterization in such ultrawide-bandgap semiconductors remains challenging. Here, we demonstrate that light-modulated low-frequency noise (LFN) spectroscopy enables quantitative profiling of both trap density and energy depth. Under intensity-tunable above-bandgap illumination, the dominant 1/f noise from carrier number fluctuations yields a trap state density Nt ∼ 1018 cm−3 eV−1, consistent with literature. A distinct ultralow-frequency generation–recombination noise is suppressed under out-of-band excitation with photon energy >2.3 eV, matching a 2.3 eV cathodoluminescence peak and suggesting the presence of a trap, with a VIII-related deep acceptor as a plausible candidate. Its effective areal trap density is quantified as 1.52 × 1010 cm−2. The technique's validity is further corroborated by reduced Nt in devices with an AlN/GaN interface layer. This work establishes light-modulated LFN as a versatile, device-intrinsic method for deep-trap characterization in ultrawide-bandgap semiconductors, independent of specific device architectures.

Authors

Institutions

Publication Details

Journal
Applied Physics Letters
Published
2026-09-14
DOI
https://doi.org/10.1063/5.0349897
Primary Topic
GaN-based semiconductor devices and materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Light-modulated low-frequency noise spectroscopy for deep-level defect characterization in Al-rich AlGaN heterostructures

Xiulin Xie, Hao Jiang, Zhuoya Peng
Applied Physics Letters
GaN-based semiconductor devices and materials
article

Light-modulated low-frequency noise spectroscopy for deep-level defect characterization in Al-rich AlGaN heterostructures

Xiulin Xie, Hao Jiang, Zhuoya Peng
article en

Abstract

Al-rich AlxGaN (x > 0.4) heterostructures are pivotal building blocks for high-voltage power electronic and deep ultraviolet optoelectronic devices, yet deep-level defect characterization in such ultrawide-bandgap semiconductors remains challenging. Here, we demonstrate that light-modulated low-frequency noise (LFN) spectroscopy enables quantitative profiling of both trap density and energy depth. Under intensity-tunable above-bandgap illumination, the dominant 1/f noise from carrier number fluctuations yields a trap state density Nt ∼ 1018 cm−3 eV−1, consistent with literature. A distinct ultralow-frequency generation–recombination noise is suppressed under out-of-band excitation with photon energy >2.3 eV, matching a 2.3 eV cathodoluminescence peak and suggesting the presence of a trap, with a VIII-related deep acceptor as a plausible candidate. Its effective areal trap density is quantified as 1.52 × 1010 cm−2. The technique's validity is further corroborated by reduced Nt in devices with an AlN/GaN interface layer. This work establishes light-modulated LFN as a versatile, device-intrinsic method for deep-trap characterization in ultrawide-bandgap semiconductors, independent of specific device architectures.

Applied Physics LettersVol. 129(11)
Sun Yat-sen University (CN)
Sustainable cities and communities
Openalex Percentile: Top 16%
GaN-based semiconductor devices and materials
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.

Light-modulated low-frequency noise spectroscopy for deep-level defect characterization in Al-rich AlGaN heterostructures — Xiulin Xie, Hao Jiang, et al. · Applied Physics Letters (2026) | TGRS Research Map | TGRS