We use computer simulation and formal theory to study the fascinating phenomenon of molecular self-assembly: the spontaneous and reversible aggregation of molecules into a wide variety of structures. Self-assembly is common in biological systems, and also provides a useful approach to the synthesis of materials with nanoscale features. Our research goals are to understand and predict how the sizes, shapes, and various other properties of self-assembled structures depend on the chemical structures of their constituents and on conditions of temperature, pressure and concentration. Using a range of theoretical and computational tools (e.g. molecular dynamics, Brownian dynamics, Monte Carlo, and statistical thermodynamics) we can learn both how a molecule’s structure influences local packing and how local effects give rise to mesoscale structure and bulk phase behavior.
See the menu above for more information on active projects within the group, the people who are doing this work, and our research publications.
Spheres packed on the surface of a (160 times) larger sphere, modeled via solvent-repacking grand canonical Monte Carlo algorithm. Color coding indicates number of neighbors; grey for 6, red for 7, blue for 5, yellow for 4. Simulation by Erdong Lu.
Financial support for the Kindt group research activities provided by National Science Foundation grants CHE-1213904, CHE-0911285, CHE-0616383, and CHE-0316076.
Current support from the Petroleum Research Fund of the American Chemical Society through grant 54642-ND6 is also gratefully acknowledged.