SELF-ORGANIZATION IN COMPLEX CHEMICAL AND BIOPHYSICAL SYSTEM (THEORY AND SIMULATIONS)

Evolution of spatiotemporal orders is ubiquitous and perhaps one of the most fascinating phenomenon in natural systems. How does a system self-organize into a ordered structure under far-from-equilibrium condition? What are the underlying mechanisms and controlling factors which determine the spatiotemporal dynamics? How can external and internal perturbations, feedback govern the spatiotemporal dynamics? In our research we investigate several of these questions aiming towards developing mechanistic and physical understanding using theoretical and computational approaches. We mainly utilize tools of nonlinear dynamics, statistical mechanics, numerical and computer simulations to address various phenomena of self-organization in complex chemical and biophysical systems. We also appreciate suitable collaborations from interested theoretical and experimental groups. Our current interests focused on the following broad areas:

• Nonlinear dynamics of spatially-extended chemical and biological systems: spatiotemporal patterns, oscillations, phase-separation etc.

• Collective dynamics of microbial colonies and multicellular tissues: growth, expansion, migration and self-organization (biomechanics and chemical aspects)

• Non-equilibrium statistical mechanics of active matter and driven systems.