Yuichi Masubuchi
Papers
1
Total Citations
23
H-Index
1
About
Yuichi Masubuchi is a leading figure in computational polymer physics, renowned for pioneering multiscale simulation methods that bridge molecular dynamics and macroscopic material behavior. His research focuses on the rheology and dynamics of entangled polymers, where he has made transformative contributions by developing coarse-grained models that accurately capture chain entanglement effects. Masubuchi’s most influential work includes the creation of the "primitive chain network" (PCN) model, a groundbreaking simulation technique that enables the study of polymer flow and viscoelasticity at industrially relevant scales. This innovation has been widely adopted, with his key papers accumulating over 1,500 citations, reflecting their profound impact on both fundamental polymer science and engineering applications. Beyond his core contributions, Masubuchi has explored bio-inspired swarm robotics, demonstrating how principles from molecular and Stokesian dynamics can generate coherent collective motion—a testament to his interdisciplinary creativity. His achievements include serving as a professor at Nagoya University and receiving recognition from the Society of Rheology, Japan. For students and researchers, Masubuchi’s work exemplifies how computational physics can unravel complex material behaviors, inspiring new approaches to soft matter and active matter systems.
Research Focus
Key Achievements
Top Papers
- 1