Andrey Dobrynin

Andrey Dobrynin

Mackenzie Distinguished Professor

   Caudill Laboratories 119
   (919) 962-1580
  Group Website
  Curriculum Vitae

Research Interests

Polymers, soft matter, physical chemistry

Research Synopsis

My research is focused on development of computational and theoretical models of network and gels, polyelectrolyte solutions and gels, charged polymers at surfaces and interfaces, electrostatic interactions in biological systems, wetting and adhesion, graphene based polymeric materials, nanocomposites, soft-matter physics and biophysics. New directions include development of computer models for 3D printing and advanced additive manufacturing, computationally driven and AI based materials design, statistical data analysis and “big” data visualization. The knowledge gained from these studies impacts numerous areas of Soft Matter and Polymer Science.

Professional Background

Andrey V. Dobrynin is Mackenzie Family Eminent Distinguished Professor of Chemistry. He received B.S. (1987) and Ph.D. (1991) degrees in Polymer Physics from the Moscow Institute of Physics and Technology, Moscow, Russia.

Before joining University of North Carolina at Chapel Hill in summer 2020, he was Alan N. Gent Ohio Research Scholar, Professor of Polymer Science at the College of Polymer Science and Polymer Engineering, University of Akron (2015-2020),  faculty at the Institute of Materials Science, University of Connecticut (2001-2015), served as a Program Director of the Condensed Matter and Materials Theory Program, Division of Materials Research at the  National Science Foundation (2013-2015).

Prof. Dobrynin is a Fellow of the American Physical Society, the American Association for the Advancement of Science, and the Polymer Division, the American Chemical Society and Member of the Connecticut Academy of Science and Engineering.

News & Publications

This analysis shows that (i) there is only a small fraction of free counterions, f* < 12%; (ii) divalent ions have a strong effect on the renormalization of the excluded volume, reducing it by a factor of 2; and (iii) the effect of divalent counterions is much weaker on the renormalization of the Kuhn length, accounting for an increase of up to 10%.


Coarse-grained molecular dynamics simulations, random phase approximation (RPA) approach, and scaling analysis are used to study static and dynamic properties of concentrated polyelectrolyte solutions of positively charged chains with the degree of polymerization N+ = 400 and their mixtures with negatively charged chains with degrees of polymerization N– varying between 10 and 400.