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Dr. Abhinav Sharma

Institute Theory of Polymers
+49 351 4658 1014 +49 351 4658 752

Since May 2017, I am a group leader at the Leibniz institute for polymer research Dresden, Germany. I completed my PhD in 2011 at the Eindhoven University of Technology. I performed my postdoctoral research in Amsterdam (Fred MacKintosh Vrije Universiteit), Goettingen (Christoph Schmidt, Goettingen university) and Switzerland (Joseph Brader, Fribourg university).

Fields of research

Understanding the fundamental material properties of soft matter:
My research relies extensively on theoretical statistical mechanics; equilibrium and non-equilibrium. The main goal is to provide a theoretical understanding of material properties using microscopic first principles approach.

Biological Soft Matter:

Using tools from the theory of critical phenomenon, elasticity theory and large scale numerical simulations, I have studied linear and nonlinear mechanics of biopolymer networks. Working together with experimentalists, I have investigated how different fields such as bending rigidity, stress, and strain can stabilize an otherwise floppy network. Some of the important results of my research are:
• Nonlinear mechanics are not sensitive to the detailed microstructure of the network
• Motor-activity induced failure of a network exhibits remarkable similarity to percolation transition
• Stress governs the mechanics of collagen networks over a wide range of concentration

Active Brownian Particles:
I investigate the non-equilibrium properties of active systems using a combination of Response theory, Density Functional Theory and Brownian dynamics simulations. Some of the important results of my research are:
• Treating the activity as a non-equilibrioum perturbation, exact expressions can be obtained for key observables, such as average swim speed and average orientation, of active systems.
• One can go beyond the linear response theory by using density functional theory to access observables such as density and pair-correlation function of an active system.