||2012 Icon This school brings together scientists from the fields of geophysics, physics, materials science, chemistry and high-performance computing to learn fundamentals of Quantum Monte Carlo theory and its applications.
The school format includes morning lectures and afternoon interactive laboratories. The level of instruction is appropriate for first-year graduate students. Participants from previous schools have included advanced undergraduates, graduate students, post-doctoral researchers, faculty, and research scientists.
For more than ten years, MCC researchers have held summer schools on computational materials science. The Center maintains an index of downloadable summer school teaching materials and computer labs.
Many videos and lecture notes from previous years are available on the MCC website.
- Introduction to Monte Carlo Methods
- Variational Quantum Monte Carlo
- Diffusion Quantum Monte Carlo
- Pseudopotential generation
- Wavefunction optimization methods
- Path integral Monte Carlo
- QMC applications in geophysics
- David Ceperley, University of Illinois
- Ronald Cohen, Carnegie Institution of Washington
- Luke Shulenburger, Scandia National Laboratory
- Eric de Sturler, Virginia Polytechnic Institute and State University
- Jeongnim Kim, Oak Ridge National Laboratory
- Burkhard Militzer, University of California at Berkeley
Fees and expenses
There is a registration fee of $150 for accepted applicants. The school will include a poster session, and poster presenters will receive a $75 fee reduction.
Housing at a nearby dormitory will be provided at no cost to non-local partipants for the duration of the school. In addition, some travel support is available based on need. Applicants should indicate their expected expenses and financial needs to attend the school, when applying.
Participants are responsible for their meals. Coffee breaks will be provided.
April 1, 2012 for international applicants needing visas
June 11, 2012 for all others
Online application for the summer school
Summer school sponsors
University of Illinois at Urbana-Champaign
Materials Computation Center, University of Illinois
Frederick Seitz Materials Research Laboratory
Beckman Institute for Advanced Science and Technology
Network for Computational Nanotechnology
National Science Foundation
Supporting awards from the National Science Foundation:
DMR 03-25939, DMS 10-24936, DMS-10-25327, and DMS-1025370
Oak Ridge National Laboratory
Organizers: D. Ceperley, R. Cohen, E. de Sturler, J. Kim, B. Militzer, N. Sobh, U. Ravaioli