Javascript must be enabled to continue!
Burying non-radiative defects in InGaN underlayer to increase InGaN/GaN quantum well efficiency
View through CrossRef
The insertion of an InGaN underlayer (UL) is known to strongly improve the performance of InGaN/GaN quantum well (QW) based blue light emitting diodes (LEDs). However, the actual physical mechanism responsible for it is still unclear. We thus conduct a systematic study and investigate different hypotheses. To this aim, InGaN/GaN single (S) QWs are grown on sapphire and GaN free-standing substrates with or without InGaN UL. This allows us to conclude that (i) improvement of LED performance is due to a higher internal quantum efficiency of the InGaN/GaN SQW and (ii) reduction of structural defects is not at play. Furthermore, we show that neither the surface morphology nor the strain of the top GaN layer before the growth of the QW is affected by the InGaN UL. Finally, we find that the beneficial effect of the InGaN UL is still present after 100 nm of GaN. This result combined with band structure modelling rules out the hypothesis of higher QW oscillator strength induced by a reduction of the internal electric field due to band bending. In conclusion, we demonstrate that the increase in InGaN/GaN QW efficiency is the consequence of a reduction of non-radiative recombination centers in the QW itself, independent of the dislocation density.
AIP Publishing
Title: Burying non-radiative defects in InGaN underlayer to increase InGaN/GaN quantum well efficiency
Description:
The insertion of an InGaN underlayer (UL) is known to strongly improve the performance of InGaN/GaN quantum well (QW) based blue light emitting diodes (LEDs).
However, the actual physical mechanism responsible for it is still unclear.
We thus conduct a systematic study and investigate different hypotheses.
To this aim, InGaN/GaN single (S) QWs are grown on sapphire and GaN free-standing substrates with or without InGaN UL.
This allows us to conclude that (i) improvement of LED performance is due to a higher internal quantum efficiency of the InGaN/GaN SQW and (ii) reduction of structural defects is not at play.
Furthermore, we show that neither the surface morphology nor the strain of the top GaN layer before the growth of the QW is affected by the InGaN UL.
Finally, we find that the beneficial effect of the InGaN UL is still present after 100 nm of GaN.
This result combined with band structure modelling rules out the hypothesis of higher QW oscillator strength induced by a reduction of the internal electric field due to band bending.
In conclusion, we demonstrate that the increase in InGaN/GaN QW efficiency is the consequence of a reduction of non-radiative recombination centers in the QW itself, independent of the dislocation density.
Related Results
Highmobility AlGaN/GaN high electronic mobility transistors on GaN homo-substrates
Highmobility AlGaN/GaN high electronic mobility transistors on GaN homo-substrates
Gallium nitride (GaN) has great potential applications in high-power and high-frequency electrical devices due to its superior physical properties.High dislocation density of GaN g...
GaN surface as the source of non-radiative defects in InGaN/GaN quantum wells
GaN surface as the source of non-radiative defects in InGaN/GaN quantum wells
Blue light-emitting diodes based on III-nitride semiconductors are nowadays widely used for solid-state lighting. They exhibit impressive figures of merit like an internal quantum ...
Studies on the Influences of i-GaN, n-GaN, p-GaN and InGaN Cap Layers in AlGaN/GaN High-Electron-Mobility Transistors
Studies on the Influences of i-GaN, n-GaN, p-GaN and InGaN Cap Layers in AlGaN/GaN High-Electron-Mobility Transistors
Systematic studies were performed on the influence of different cap layers of i-GaN, n-GaN, p-GaN and InGaN on AlGaN/GaN high-electron-mobility transistors (HEMTs) grown on sapphi...
Advanced frameworks for fraud detection leveraging quantum machine learning and data science in fintech ecosystems
Advanced frameworks for fraud detection leveraging quantum machine learning and data science in fintech ecosystems
The rapid expansion of the fintech sector has brought with it an increasing demand for robust and sophisticated fraud detection systems capable of managing large volumes of financi...
Improving the quantum well properties with n-type InGaN/GaN superlattices layer
Improving the quantum well properties with n-type InGaN/GaN superlattices layer
InGaN/GaN quantum wells have been grown by metal-organic chemical vapor deposition. InGaN/GaN quantum well with n-type InGaN/GaN thin layer or InGaN/GaN superlattice layer were stu...
Advancements in Quantum Computing and Information Science
Advancements in Quantum Computing and Information Science
Abstract: The chapter "Advancements in Quantum Computing and Information Science" explores the fundamental principles, historical development, and modern applications of quantum co...
Integrating quantum neural networks with machine learning algorithms for optimizing healthcare diagnostics and treatment outcomes
Integrating quantum neural networks with machine learning algorithms for optimizing healthcare diagnostics and treatment outcomes
The rapid advancements in artificial intelligence (AI) and quantum computing have catalyzed an unprecedented shift in the methodologies utilized for healthcare diagnostics and trea...
Correlative Nanoscale Luminescence and Elemental Mapping in
InGaN/(Al)GaN
Dot‐in‐a‐wire Heterostructures
Correlative Nanoscale Luminescence and Elemental Mapping in
InGaN/(Al)GaN
Dot‐in‐a‐wire Heterostructures
Ternary InGaN compounds show great promise for light‐emitting diode (LED) applications because of bandgap energies (0.7 – 3.4 eV) that can be tailored to have emission wavelengths ...

