Papers
1
Total Citations
12
H-Index
1
About
Mihir Durve is a researcher whose work lies at the intersection of collective behavior, active matter, and computational physics. His most notable contribution is his study of how groups of agents can collaboratively locate the source of an odor in a turbulent environment—a problem with profound implications for robotics, search-and-rescue, and biological sensing. In his widely cited 2020 paper, "Collective olfactory search in a turbulent environment," Durve demonstrated that sharing information among searchers can dramatically improve performance, even when the environmental cues are noisy and chaotic. This work, which has garnered 12 citations, is a key step in understanding how decentralized, swarm-like systems can solve complex sensing tasks. Beyond this, Durve has explored the dynamics of active particles and the statistical mechanics of self-propelled systems, contributing to a deeper understanding of how order emerges from random motion. His research bridges theoretical modeling and practical application, making him a compelling figure for students interested in the frontiers of soft matter physics and bio-inspired computation.
Research Focus
Key Achievements
Top Papers
- 1Collective olfactory search in a turbulent environment12 citations · 2020