Mohammad Fazelzadeh
Papers
2
Total Citations
48
H-Index
2
About
Mohammad Fazelzadeh investigates the physics of active matter, focusing on how self-propelled particles and filaments behave under the influence of forces like inertia and magnetic interactions. His work bridges microscopic and macroscopic scales, exploring systems from motor-driven biofilaments to robotic chains. In a highly cited 2023 paper (41 citations), he revealed how inertia fundamentally alters the conformation and dynamics of tangentially driven active filaments—a critical insight for understanding macroscopic active systems like robot chains, where inertial effects cannot be ignored. More recently (2024, 7 citations), he demonstrated that dipolar active Brownian particles in three dimensions can self-assemble into dynamic "active string fluids and gels," showing how the interplay between self-propulsion and anisotropic magnetic interactions leads to novel collective states. This work has implications for designing active colloids and micro-robots. By combining theoretical modeling with simulations, Fazelzadeh is advancing our understanding of active matter's rich phase behavior, from individual filament dynamics to emergent collective phenomena in complex fluids.
Research Focus
Key Achievements
Top Papers
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