Optimizing GaN Surface Morphology through Controlled Photo-Electroless Etching for Enhanced Optical Properties

Nanostructured gallium nitride (GaN) shows strong potential in enhancing ultraviolet (UV) photodetectors through improved sensitivity and in light-emitting diodes (LEDs) via better spatial resolution. It is also promising for quantum photonics, particularly as a scalable, room-temperature single-photon emitter vital for quantum communication and sensing. A cost-effective photo-electroless etching (PEE) technique was employed to fabricate various GaN nanostructures, including vertically aligned nanowires (NWs) with a mean length of 1.75 ± 0.21 μm and a diameter of 39.36 ± 11.28 nm, as well as complex nano- and microporous layers. The study evaluated how different illumination conditions, power levels, and etching durations influenced the etching efficiency and surface morphology. Scanning electron microscopy (SEM) and atomic force microscopy (AFM) analyses revealed the transition from porous layers to vertical NWs, which eventually detached from the substrate. Energy-dispersive X-ray spectroscopy (EDX) confirmed that the structures consist primarily of gallium and nitrogen, consistent with GaN composition, while photoluminescence (PL) and cathodoluminescence (CL) spectroscopies were employed to investigate their optical properties. The efficiency of UV photon emission relative to visible emission was quantified, revealing a strong dependence on the morphology. These results prove how PEE enhances photon extraction, positioning GaN as a versatile platform for future quantum technologies.

Authors

Institutions

Publication Details

Journal
Crystal Growth & Design
Published
2025-08-28
DOI
https://doi.org/10.1021/acs.cgd.5c00726
Citations
2
Primary Topic
GaN-based semiconductor devices and materials
Type
article
Field-Weighted Citation Impact
2.52

Funders

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

Optimizing GaN Surface Morphology through Controlled Photo-Electroless Etching for Enhanced Optical Properties

R. Reitano, G. Franzò, Francesco Ruffino, Stefano Boscarino et al.
2 citations
Crystal Growth & Design
GaN-based semiconductor devices and materials
2.52
article

Optimizing GaN Surface Morphology through Controlled Photo-Electroless Etching for Enhanced Optical Properties

R. Reitano, G. Franzò, Francesco Ruffino, Stefano Boscarino, Silvia Scalese, Paolo Musumeci, Vincenzina Strano, Giacometta Mineo, Maria Grazia Grimaldi, Antouman Sallah
article en
2 citations

Abstract

Nanostructured gallium nitride (GaN) shows strong potential in enhancing ultraviolet (UV) photodetectors through improved sensitivity and in light-emitting diodes (LEDs) via better spatial resolution. It is also promising for quantum photonics, particularly as a scalable, room-temperature single-photon emitter vital for quantum communication and sensing. A cost-effective photo-electroless etching (PEE) technique was employed to fabricate various GaN nanostructures, including vertically aligned nanowires (NWs) with a mean length of 1.75 ± 0.21 μm and a diameter of 39.36 ± 11.28 nm, as well as complex nano- and microporous layers. The study evaluated how different illumination conditions, power levels, and etching durations influenced the etching efficiency and surface morphology. Scanning electron microscopy (SEM) and atomic force microscopy (AFM) analyses revealed the transition from porous layers to vertical NWs, which eventually detached from the substrate. Energy-dispersive X-ray spectroscopy (EDX) confirmed that the structures consist primarily of gallium and nitrogen, consistent with GaN composition, while photoluminescence (PL) and cathodoluminescence (CL) spectroscopies were employed to investigate their optical properties. The efficiency of UV photon emission relative to visible emission was quantified, revealing a strong dependence on the morphology. These results prove how PEE enhances photon extraction, positioning GaN as a versatile platform for future quantum technologies.

Crystal Growth & DesignVol. 25(18)
University of Catania (IT), Institute for Microelectronics and Microsystems (IT)
Università di Catania, Ministero dell'Università e della Ricerca
Openalex Percentile: Top 10%
GaN-based semiconductor devices and materials
2.52
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.