Energy Harvesting Materials
2 researchers across 1 institution
Researchers investigate materials designed to convert ambient energy into usable electrical power. This area explores the fundamental physics and chemistry of materials that can capture energy from sources such as light, heat, vibration, and radiofrequency waves. Investigations include the synthesis and characterization of novel materials, often at the nanoscale, and the development of devices that efficiently harvest and store energy. Specific sub-fields involve the study of piezoelectric, thermoelectric, photovoltaic, and triboelectric effects in various material systems, including polymers, ceramics, and advanced composites.
This research holds relevance for Arkansas by supporting the development of sustainable energy solutions that can reduce reliance on fossil fuels and enhance grid resilience. Advancements in energy harvesting materials can contribute to the efficiency of renewable energy technologies, such as solar cells and wind turbines, which are increasingly important in the state's energy portfolio. Furthermore, portable, self-powered devices enabled by these materials could benefit applications in agriculture, remote sensing, and the Internet of Things, sectors significant to Arkansas's economy.
This work draws upon expertise in materials science, nanotechnology, and device engineering. Connections exist with research in perovskite materials, graphene, and semiconductor devices, fostering interdisciplinary collaborations across institutions.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| Diandian Zhang | University of Arkansas | 10 | 340 | ||
| Ferdinand Harerimana | University of Arkansas | 4 | 45 |
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 3,709
- 2 Chinese Academy of Sciences 2,259
- 3 Massachusetts Institute of Technology 1,767
- 4 Beijing Institute of Nanoenergy and Nanosystems 1,673
- 5 Pennsylvania State University 1,514