Yutaka Sumino
Artificial Life Physics
Understanding how life-like behaviors emerge from physical systems.
Artificial Life Physics seeks universal physical principles behind self-organization, pattern formation, and collective dynamics.
Rather than focusing only on molecular components, we investigate general mechanisms underlying emergent dynamics.
Our research focuses on mesoscopic interfaces (100 nm – 1 mm), where transport, mechanics, and geometry interact to generate rich nonequilibrium phenomena.
My recent work aims to bridge active biological systems and non-biological systems through nonlinear dynamics and stochastic coarse-grained models.
Research interests
- Artificial Life Physics
- Mesoscopic interfaces with active flows
- Collective motion in biological and synthetic systems
- Reduced models and Langevin descriptions
- Nonlinear dynamics and pattern formation