Research Immersion in Materials Science & Engineering (RIMSE) Summer School on Predictive Assembly - SSPA

The intellectual focus of the SSPA is on understanding how nanoscale building blocks can be assembled into functional, tunable materials that operate at the meso- to macroscales. Students will be employ a multiscale theoretical framework to solving these problems, combining first-principles electronic structure calculations, atomistic and coarse-grained (CG) models. The structure and dynamics of these system will be explored by means of molecular dynamics (MD) simulations, while Monte-Carlo (MC) simulations will be used to determine the long-term, thermodynamic behavior. Trainees will learn how to: (1) simulate assembly at atomistic, nanoscopic, and mesostructural scales; and (2) how to predict the properties of the resulting structures.