Gan-Based Semiconductor Devices And Materials
49 researchers across 3 institutions
Research in gallium nitride (GaN)-based semiconductor devices and materials explores the fundamental properties and applications of these wide-bandgap semiconductors. Investigations focus on material synthesis, including epitaxial growth techniques, and the characterization of GaN and related alloy properties. Scientists develop and analyze novel device architectures for high-power electronics, radio-frequency applications, and optoelectronic devices such as light-emitting diodes (LEDs) and laser diodes. This work involves understanding defect mechanisms, exploring novel doping strategies, and optimizing device performance for specific operational conditions, often employing advanced computational modeling alongside experimental techniques.
The development of GaN-based technologies holds particular relevance for Arkansas's growing advanced manufacturing and technology sectors. Efficient power electronics are crucial for next-generation electric vehicles and renewable energy infrastructure, areas with potential for economic expansion within the state. Furthermore, advancements in GaN-based LEDs contribute to energy-efficient lighting solutions and specialized applications in agriculture and horticulture, which are significant to Arkansas's economy. Research in this area also supports the state's interest in developing robust and reliable electronic systems for various industries.
This research area draws upon expertise in materials science, electrical engineering, and physics. It involves collaborations with researchers working on silicon carbide technologies, photonic and optical devices, and nanoparticle synthesis. This interdisciplinary engagement spans multiple institutions across Arkansas, fostering a broad base of expertise in semiconductor science and technology.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| Yong Wang | University of Arkansas | 33 | 4,019 | ||
| Xiaoqing Song | University of Arkansas | 29 | 2,645 | Grant PI High Impact | |
| Yuriy I. Mazur | University of Arkansas | 25 | 2,461 | High Impact | |
| Alan Mantooth | University of Arkansas | 25 | 2,647 | Grant PI High Impact | |
| Yuxiang Chen | University of Arkansas | 14 | 791 | ||
| Md Maksudul Hossain | University of Arkansas | 14 | 611 | ||
| Chen Li | University of Arkansas | 12 | 461 | Grant PI | |
| L. Bellaiche | University of Arkansas | 12 | 875 | ||
| Serhii Kryvyi | University of Arkansas | 9 | 243 | ||
| Daniel Rogers | University of Arkansas | 9 | 295 | ||
| Satish Shetty | University of Arkansas | 8 | 293 | ||
| Mehdi Kabir | University of Arkansas | 7 | 153 | ||
| John Fraley | University of Arkansas | 7 | 124 | ||
| Oluwatobi Olorunsola | University of Arkansas | 6 | 92 | ||
| Ayesha Hassan | University of Arkansas | 6 | 77 | ||
| Mohammad Zamani‐Alavijeh | University of Arkansas | 6 | 96 | ||
| Laurent Bellaiche | University of Arkansas | 6 | 323 | ||
| Pijush K. Ghosh | University of Arkansas | 5 | 90 | ||
| Salahaldein Ahmed | University of Arkansas | 5 | 43 | ||
| Alexis Krone | University of Arkansas | 5 | 68 |
Related Research Areas
Connected Research Areas
Topics that share active collaborators with Gan-Based Semiconductor Devices And Materials in Arkansas. Pairs are ranked by collaboration density relative to expected co-authorship under a random null. This describes existing connections, not investment recommendations.
- Semiconductor materials and devices
- Advancements in Semiconductor Devices and Circuit Design
- Cancer-related molecular mechanisms research
- Protein Structure and Dynamics
- Bacterial Genetics and Biotechnology
- Plant Stress Responses and Tolerance
- Molecular Biology Techniques and Applications
- Silicon Carbide Semiconductor Technologies
Strategic Outlook
Global signals from OpenAlex for this research area: where the field is growing, how concentrated leadership is, and where Arkansas sits relative to the world's top-100 institutions. Descriptive only — surfaced as input to the conversation about where to place bets, not a recommendation. Signal confidence: LOW
Top US institutions in this area
- 1 University of California, Santa Barbara 2,410
- 2 University of Florida 1,429
- 3 North Carolina State University 1,387
- 4 United States Naval Research Laboratory 1,109
- 5 Georgia Institute of Technology 1,109
Cross-Institution Connections
Researchers at different institutions with overlapping expertise in Gan-Based Semiconductor Devices And Materials.