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Methodologies: Materials, Open Source Code, Physics-Specific Methods

Emanuel Gull

Assistant Professor, Physics

Affiliation(s):

Center for Network and Storage-Enabled Collaborative Computational Science, Center for Scientific Software Infrastructure

Professor Gull works in the general area of computational condensed matter physics with a focus on the study of correlated electronic systems in and out of equilibrium. He is an expert on Monte Carlo methods for quantum systems and one of the developers of the diagrammatic ‘continuous-time’ quantum Monte Carlo methods. His recent work includes the study of the Hubbard model using large cluster dynamical mean field methods, the development of vertex function methods for optical (Raman and optical conductivity) probes, and the development of bold line diagrammatic algorithms for quantum impurities out of equilibrium. Professor Gull is involved in the development of open source computer programs for strongly correlated systems.

Cluster geometry of a 16-site cluster used to study the properties of high-temperature cuprate superconductors.

Cluster geometry of a 16-site cluster used to study the properties of high-temperature cuprate superconductors.