DavidCeperleySep2015MICDE Seminar: David Ceperley

Professor Ceperley received his BS in physics from the University of Michigan in 1971 and his Ph.D. in physics from Cornell University in 1976. After one year at the University of Paris and a second postdoc at Rutgers University, he worked as a staff scientist at both Lawrence Berkeley and Lawrence Livermore National Laboratories. In 1987, he joined the Department of Physics at Illinois. Professor Ceperley is a Fellow of the American Physical Society and a member of the American Academy of Arts and Sciences. He was elected to the National Academy of Sciences in 2006.

Professor Ceperley’s work can be broadly classified into technical contributions to quantum Monte Carlo methods and contributions to our physical or formal understanding of quantum many-body systems. His most important contribution is his calculation of the energy of the electron gas, providing basic input for most numerical calculations of electronic structure. He was one of the pioneers in the development and application of path integral Monte Carlo methods for quantum systems at finite temperature, such as superfluid helium and hydrogen under extreme conditions.

Quantum Monte Carlo Studies of Dense Hydrogen

4:00 p.m., Monday, September 21st, 2015
Room 340 West Hall

Hydrogen accounts for much of the visible mass in the universe. Its properties are important for understanding the giant planets and other exo-planets, but experiments under the relevant  conditions are challenging. We have developed Quantum Monte  Carlo methods to provide definitive ‘ab initio’ results for  hydrogen under extreme conditions. They do not rely on  experiment, but attempt to solve the many-body quantum problem directly. Using these methods, we have computed some of the phases and thermodynamic properties in dense hydrogen. In order to access much larger systems and for longer time scales we have compared the accuracy of density functionals. We find that certain functionals are much more accurate than others, though they may require some “calibration.” Using this procedure, high performance computation can enable much more accurate simulations of material properties when experimental measurements are unavailable.

This event is co-sponsored by U-M Department of Physics.