Molecular Dynamics Simulation
46 researchers across 7 institutions
Molecular dynamics simulation explores the movement and behavior of atoms and molecules over time. Researchers use computational methods to model complex systems, investigating how molecular structures change and interact. This approach is applied to understand the folding and function of proteins, the properties of novel materials, and the behavior of nanoparticles. Key areas of focus include simulating the dynamics of biological membranes, investigating receptor mechanisms, and developing new computational techniques for analyzing simulation data.
This research has direct relevance to Arkansas's economy and public health. Understanding protein dynamics and receptor signaling can inform the development of new pharmaceuticals and biotechnologies, potentially supporting the state's growing bioscience sector. Simulations of materials at the molecular level can contribute to advancements in manufacturing and the development of new products. Furthermore, research into the behavior of nanoparticles and their interactions with biological systems can inform environmental health and safety assessments relevant to the state's natural resources and agricultural industries.
This field draws upon and contributes to a wide range of disciplines, including computer simulation, materials science, and computational physics. Researchers across multiple Arkansas institutions collaborate to advance this work, fostering interdisciplinary connections and broad engagement within the state's higher education landscape.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| Roger E. Koeppe | University of Arkansas | 55 | 11,598 | Faculty | High Impact |
| Xianghong Qian | University of Arkansas | 39 | 4,618 | Faculty | Grant PI High Impact |
| Dawei Wang | University of Arkansas | 38 | 4,348 | ||
| Paul C. Millett | University of Arkansas | 36 | 3,664 | Faculty | High Impact |
| Baiping Ren | NCTR | 33 | 3,346 | High Impact | |
| Pradeep Kumar | University of Arkansas | 32 | 4,354 | Faculty | High Impact |
| Feng Wang | University of Arkansas | 30 | 3,515 | Faculty | Grant PI High Impact |
| Sugunadevi Sakkiah | NCTR | 29 | 3,003 | High Impact | |
| William G. Harter | University of Arkansas | 27 | 3,268 | Faculty | High Impact |
| Mahmoud Moradi | University of Arkansas | 22 | 1,624 | Faculty | Grant PI High Impact |
| Xi Chen | NCTR | 19 | 1,951 | Research Staff | |
| Subhashis Das | University of Arkansas | 17 | 845 | Faculty | |
| Jeevapani J. Hettige | University of Arkansas | 17 | 1,609 | ||
| Subha Pratihar | Arkansas Tech University | 15 | 806 | Faculty | |
| Maxim A. Makeev | University of Arkansas | 15 | 1,450 | ||
| Jacob I. Monroe | University of Arkansas | 14 | 1,019 | Faculty | Grant PI |
| Shilpi Agrawal | University of Arkansas | 11 | 346 | Postdoctoral | |
| Hope Woods | University of Arkansas | 9 | 358 | Postdoctoral | |
| Dylan Girodat | University of Arkansas | 9 | 590 | Faculty | |
| Jialu Ma | UA Little Rock | 9 | 255 |
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 National Institutes of Health 2,987
- 2 Harvard University 2,329
- 3 Howard Hughes Medical Institute 2,314
- 4 Stanford University 2,137
- 5 University of California San Diego 2,133
Cross-Institution Connections
Researchers at different institutions with overlapping expertise in Molecular Dynamics Simulation.