Advanced Sensor And Energy Harvesting Materials
23 researchers across 4 institutions
This research area explores the development and application of novel materials designed for advanced sensing and energy harvesting. Investigations focus on creating materials with enhanced sensitivity and selectivity for detecting a wide range of analytes, from chemical and biological agents to physical stimuli. Research also addresses the design of materials that can efficiently convert ambient energy sources, such as solar, thermal, kinetic, or radiofrequency energy, into usable electrical power. This includes work on flexible electronics, wearable sensors, and self-powered devices.
The development of these materials holds significant relevance for Arkansas. Innovations in sensing technology can support agricultural monitoring, environmental protection, and public safety initiatives across the state. Advancements in energy harvesting can contribute to the development of sustainable power solutions for remote areas, infrastructure monitoring, and the growing Internet of Things (IoT) sector, aligning with Arkansas's economic diversification and infrastructure goals. Furthermore, improved diagnostic sensors have direct applications in enhancing public health services within the state.
This field draws upon expertise in materials science, chemistry, physics, and engineering. Collaboration extends across multiple Arkansas institutions, fostering interdisciplinary approaches that integrate with related areas such as semiconductor materials, nanotechnology, machine learning for data analysis, and advanced manufacturing techniques. The active research community contributes to a robust ecosystem of innovation within the state.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| David L. Davies | UAMS | 60 | 33,132 | High Impact | |
| Yuntao Li | University of Arkansas | 36 | 4,306 | Faculty | High Impact |
| Wei Du | University of Arkansas | 31 | 3,626 | Faculty | Grant PI High Impact |
| Wan Shou | University of Arkansas | 29 | 3,890 | Faculty | Grant PI High Impact |
| Hameed A. Naseem | University of Arkansas | 29 | 3,432 | High Impact | |
| Han Hu | University of Arkansas | 26 | 2,195 | Faculty | Grant PI High Impact |
| Anahita Khojandi | University of Arkansas | 25 | 2,035 | ||
| Dongyi Wang | University of Arkansas | 25 | 3,273 | Faculty | Grant PI High Impact |
| Chen Li | University of Arkansas | 14 | 549 | Grant PI | |
| Alexander Nelson | University of Arkansas | 12 | 466 | Faculty | Grant PI |
| Yushi Yang | University of Arkansas | 10 | 450 | ||
| Syed M. Rahman | University of Arkansas | 6 | 238 | ||
| M. Carreón-Garcidueñas | University of Arkansas | 5 | 139 | Grant PI | |
| Zhang Dong | UAMS | 5 | 208 | Faculty | |
| Elizabeth M. Martin | University of Arkansas | 5 | 151 | ||
| Brian R. Thomas | University of Arkansas | 5 | 655 | ||
| James M. Mangum | University of Arkansas | 4 | 59 | ||
| Maoding Cheng | UA Pine Bluff | 4 | 220 | ||
| William T. Springer | University of Arkansas | 4 | 147 | ||
| Naveed | University of Arkansas | 3 | 16 |
Related Research Areas
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 Georgia Institute of Technology 2,729
- 2 Chinese Academy of Sciences 2,032
- 3 Beijing Institute of Nanoenergy and Nanosystems 1,713
- 4 University of Chinese Academy of Sciences 927
- 5 Massachusetts Institute of Technology 736
Cross-Institution Connections
Researchers at different institutions with overlapping expertise in Advanced Sensor And Energy Harvesting Materials.