Advanced Battery Materials And Technologies
12 researchers across 1 institution
Research in advanced battery materials and technologies focuses on developing next-generation energy storage solutions. Investigations explore novel electrode and electrolyte materials, aiming to enhance energy density, power output, cycle life, and safety of batteries. This work involves synthesis and characterization of new materials at the nanoscale, including quantum dots and nanoparticles, and the study of their electrochemical properties. Researchers also examine the mechanical and electrical behavior of thin films and metal components crucial for battery performance and reliability. The field investigates the fundamental science behind energy storage mechanisms and applies advanced computational methods, including neural networks, to predict material properties and optimize battery design.
This research directly supports Arkansas's growing advanced manufacturing sector and its interest in clean energy technologies. Developing more efficient and durable batteries is critical for the electrification of transportation, a key area for economic diversification. Furthermore, advancements in energy storage can bolster the resilience of the state's power grid, particularly in rural areas, and contribute to sustainable energy solutions for industries ranging from agriculture to logistics. Enhanced battery performance also plays a role in portable electronics and defense applications, aligning with existing technological strengths within the state.
This area draws upon expertise in semiconductor materials, nanoparticle synthesis, electrocatalysis, and ferroelectric materials. The interdisciplinary nature of this work facilitates collaboration across multiple institutions, bringing together diverse perspectives to address complex challenges in energy storage.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| Baohua Li | University of Arkansas | 52 | 11,582 | High Impact | |
| Xiangbo Meng | University of Arkansas | 47 | 7,619 | Grant PI High Impact | |
| Z. Ryan Tian | University of Arkansas | 37 | 8,172 | Grant PI High Impact | |
| Ling Hu | University of Arkansas | 27 | 2,642 | High Impact | |
| Yang Tian | University of Arkansas | 24 | 2,729 | High Impact | |
| Maxim A. Makeev | University of Arkansas | 14 | 1,400 | ||
| Yunsheng Qiu | University of Arkansas | 14 | 830 | ||
| Gopa Mandal | University of Arkansas | 10 | 555 | ||
| Mateen Ullah | University of Arkansas | 6 | 228 | ||
| Minglang Hu | University of Arkansas | 6 | 131 | ||
| Alaa Alnami | University of Arkansas | 1 | 5 | ||
| Sergey Prosandee | University of Arkansas | 0 | 0 |