Predicting and Designing Self-Assembling Systems

Date Thursday January 07, 2016 at 4:00 PM
Location 13-105 CHS, Center for the Health Sciences
Speaker Martin Nilsson Jacobi, Ph.D., Professor, Department of Energy and Environment, Chalmers University, Sweden
Sponsoring Dept UCLA Biomathematics
Abstract I will present a theoretical method for predicting and designing self-assembling systems. I will demonstrate that, by using analytic solution to a statistical mechanics model (the spherical spin model), it is possible to predict several interesting pattern formation phenomena in systems of point particles with isotropic interactions. Further, using the same basic idea, I will show that it is possible to design the interactions so that the particles self-assemble into target lattice structures. Last, I will demonstrate how these ideas can also be used to predict and design self-assembly of so called patchy colloids, i.e. nano-particles with spots and stripes on their surface.
Flyer Martin_Nilsson_Jacobi_20160197_seminar.pdf