A computational framework for rational materials design and development.
The intellectual focus of this RIMSE Summer School is on understanding how nanoscale building blocks can be assembled into functional, tunable materials that operate at the meso- to macroscales. Such materials are broadly relevant to energy, environmental sustainability, and human health problems. Led by Professor Tod Pascal, the course provides training on the computational aspects of the self-assembly problem—students will learn how to deploy high-performance computing to build predictive models that capture the chemical and physical complexities of mesoscale materials and the dynamics of their formation.  Students will be employ a multiscale theoritical 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.

2023 Applications are now closed. Please visit the website back in Winter 2023 for next year's RIMSE 2024 program details. 

For questions, please contact mrsec@ucsd.edu

2023 SSPA Participants

2023 SSPA Mentor Participants