Soft Matter Physics


Abhinav Sharma

Soft-matter systems exhibit nontrivial collective behavior, e.g. phase transitions and self-assembly. The pervasiveness of soft-matter is impressive with wide ranging applications in industry. However, what makes these systems particularly interesting for physicists is their ubiquity in Biology. For instance, the disordered elastic network shown above is actually found all over in our body. How does this disordered structure impart us mechanical integrity? Surprisingly, even in this system there is a phase transition somewhat analogous to ferromagnetism (see the movie below).

In my group we use the methods of classical statistical mechanics to investigate soft matter, both in and out of equilibrium. This involves the application of computational techniques such as Brownian Dynamics and Monte Carlo simulations and established techniques from liquid-state theory, such as (classical) density functional theory, integral equations, mode-coupling theory etc., as well as the development of new analytic and numerical approaches.

Research Highlights

Strain-controlled phase transition

Diffusive Hall effect

Disordered fiber network subjected to uniform bulk expansion. There is a continuous phase transition from floppy to rigid phase. The nonlinear mechanics of collagen networks can be quantitatively captured by our scaling theory. more...

Active Brownian particles in external magnetic field (radially decaying), become inhomogeneously distributed. Flux emerges from a flux-free system without requiring any explicitly broken symmetry or potential/density gradients. Lorentz forces are detectable in soft-matter systems. more...

Active liquid crystal

Motor driven criticality

Activity shifts the isotropic to nematic transition of ellipsoidal particles to higher densities. For large activities, a polar phase of swarming ellipsoids emerges. Active Nematic phase is stable in 3 dimensions. more...

Myosin motors drive a well connected actin network dynamically towards a critical point. more...