Mohammad Zamani Alavijeh
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Researcher
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Research Areas
Biography and Research Information
OverviewAI-generated summary
Mohammad Zamani Alavijeh's research focuses on the growth and modeling of semiconductor thin films, particularly germanium and indium gallium nitride alloys. His work investigates the properties and efficiency of these materials for applications in solar cells and electronic devices. Recent publications include studies on the growth of germanium thin film on sapphire by molecular beam epitaxy and the modeling of graded indium gallium nitride solar cells, comparing strained and relaxed features. Alavijeh also explores the optical suppression of defect-related photoluminescence in germanium-tin alloys and the efficiency of indium gallium nitride homojunction solar cells. His research network includes collaborators such as Reem Alhelais, Morgan E. Ware, and Md Helal Uddin Maruf from the University of Arkansas at Fayetteville. Alavijeh has authored six publications and holds an h-index of 2 with 30 citations.
Metrics
- h-index: 2
- Publications: 6
- Citations: 30
Selected Publications
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Investigating the efficiency of InGaN p-n-p-n homojunction solar cells (2025)
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Algorithm-Based Linearly Graded Compositions of GeSn on GaAs (001) via Molecular Beam Epitaxy (2023)
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Modeling of Λ-graded InxGa1−xN solar cells: comparison of strained and relaxed features (2022)
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Crystalline GaAs Thin Film Growth on a c-Plane Sapphire Substrate (2019)
Collaboration Network
Top Collaborators
- Modeling of Λ-graded InxGa1−xN solar cells: comparison of strained and relaxed features
- Investigating the efficiency of InGaN p-n-p-n homojunction solar cells
- Modeling of Λ-graded InxGa1−xN solar cells: comparison of strained and relaxed features
- Investigating the efficiency of InGaN p-n-p-n homojunction solar cells
- Modeling of Λ-graded InxGa1−xN solar cells: comparison of strained and relaxed features
- Investigating the efficiency of InGaN p-n-p-n homojunction solar cells
- Modeling of Λ-graded InxGa1−xN solar cells: comparison of strained and relaxed features
- Investigating the efficiency of InGaN p-n-p-n homojunction solar cells
- Modeling of Λ-graded InxGa1−xN solar cells: comparison of strained and relaxed features
- Modeling of Λ-graded InxGa1−xN solar cells: comparison of strained and relaxed features
- Modeling of Λ-graded InxGa1−xN solar cells: comparison of strained and relaxed features
- Algorithm-Based Linearly Graded Compositions of GeSn on GaAs (001) via Molecular Beam Epitaxy
- Algorithm-Based Linearly Graded Compositions of GeSn on GaAs (001) via Molecular Beam Epitaxy
- Algorithm-Based Linearly Graded Compositions of GeSn on GaAs (001) via Molecular Beam Epitaxy
- Algorithm-Based Linearly Graded Compositions of GeSn on GaAs (001) via Molecular Beam Epitaxy
- Algorithm-Based Linearly Graded Compositions of GeSn on GaAs (001) via Molecular Beam Epitaxy
- Algorithm-Based Linearly Graded Compositions of GeSn on GaAs (001) via Molecular Beam Epitaxy
- Algorithm-Based Linearly Graded Compositions of GeSn on GaAs (001) via Molecular Beam Epitaxy
- Algorithm-Based Linearly Graded Compositions of GeSn on GaAs (001) via Molecular Beam Epitaxy
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