Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
Dependence of Band Offsets on Elastic Strain in GaAs/GaAs1-xPx Strained-Layer Single Quantum Wells
View through CrossRef
High-quality GaAs/GaAs1-x
P
x
(x=0.15, 0.20, 0.22) strained-layer single quantum well structures have been grown on GaAs1-y
P
y
(y=0.1, 0.2) substrates by metal organic vapor phase epitaxy (MOVPE) and characterized by the combination of the reflectance and photoluminescence measurements. Relying on the strong and highly resolved optical transitions between the energy subbands of electrons and holes (including heavy and light holes) in the spectra, we have accurately determined the conduction and valence band offsets in this strained system. The results obtained clarify for the first time that the band offsets are strongly dependent on elastic strain or composition.
Title: Dependence of Band Offsets on Elastic Strain in GaAs/GaAs1-xPx Strained-Layer Single Quantum Wells
Description:
High-quality GaAs/GaAs1-x
P
x
(x=0.
15, 0.
20, 0.
22) strained-layer single quantum well structures have been grown on GaAs1-y
P
y
(y=0.
1, 0.
2) substrates by metal organic vapor phase epitaxy (MOVPE) and characterized by the combination of the reflectance and photoluminescence measurements.
Relying on the strong and highly resolved optical transitions between the energy subbands of electrons and holes (including heavy and light holes) in the spectra, we have accurately determined the conduction and valence band offsets in this strained system.
The results obtained clarify for the first time that the band offsets are strongly dependent on elastic strain or composition.
Related Results
Band gaps and band offsets in strained GaAs1−ySby on InP grown by metalorganic chemical vapor deposition
Band gaps and band offsets in strained GaAs1−ySby on InP grown by metalorganic chemical vapor deposition
Metastable GaAs1−ySby with 0.22<y<0.70 has been grown pseudomorphically strained on (001) InP substrates using metalorganic chemical vapor deposition. The Sb concentr...
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...
Atomic and electronic structures of silicene and germanene on GaAs(111)
Atomic and electronic structures of silicene and germanene on GaAs(111)
By using first-principles method in the density-functional theory, we clarify the atomic and electronic structures of silicene and germanene on 1×1 GaAs(111). We find stable struct...
Surface Corrugation of GaAs Layers Grown on (775)B-Oriented GaAs Substrates by Molecular Beam Epitaxy
Surface Corrugation of GaAs Layers Grown on (775)B-Oriented GaAs Substrates by Molecular Beam Epitaxy
Surface morphologies of GaAs layers grown on (775)B-oriented GaAs substrates by molecular beam epitaxy were studied using atomic force microscopy. The surface of a GaAs layer gr...
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...
Structural and optical properties of sulfur passivated epitaxial step-graded GaAs1-ySby materials
Structural and optical properties of sulfur passivated epitaxial step-graded GaAs1-ySby materials
The impact of bulk and surface defect states on the vibrational and optical properties of step-graded epitaxial GaAs1-ySby (0 ≤ y ≤ 1) materials with and without chemical surface t...
Quantum Computing and Quantum Information Science
Quantum Computing and Quantum Information Science
Abstract:
Quantum Computing and Quantum Information Science offers a comprehensive, interdisciplinary exploration of the mathematical principles, computational models, and engineer...
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...