Energy Harvesting Technologies
2 researchers across 2 institutions
Research in energy harvesting technologies explores methods for capturing and converting ambient energy sources into usable electrical power. This includes investigating novel materials and device architectures for converting mechanical vibrations, thermal gradients, and electromagnetic waves into electricity. Studies focus on improving the efficiency, power density, and longevity of these harvesters, as well as developing integrated systems for energy storage and management. Areas of inquiry include piezoelectric, thermoelectric, and triboelectric energy harvesting, alongside advancements in wireless power transfer for charging electronic devices and electric vehicles.
This research holds particular relevance for Arkansas by supporting the development of sustainable energy solutions for rural communities and agricultural operations. Innovations in energy harvesting can reduce reliance on grid infrastructure in remote areas and provide power for sensors used in precision agriculture, optimizing resource management and crop yields. Furthermore, advancements in efficient power sources contribute to the state's growing technology sector and can enhance the reliability of critical infrastructure.
Interdisciplinary collaborations link this work to electric vehicle charging systems, advanced semiconductor device design, and the reliability of photovoltaic systems. Expertise is distributed across institutions within the state, fostering a broad approach to energy harvesting challenges.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| Abdulrahman Homadi | UA Little Rock | 5 | 74 | ||
| H.S. Wang | University of Arkansas | 3 | 27 |
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: MEDIUM
Top US institutions in this area
- 1 Georgia Institute of Technology 961
- 2 Virginia Tech 609
- 3 University of Michigan 401
- 4 Chinese Academy of Sciences 397
- 5 Beijing Institute of Nanoenergy and Nanosystems 382