EAIFR Online Seminar: Giulia Galli

Quantum simulations of materials for sustainable energy generation and use

02 DEC 2021

Giulia Galli, of the University of Chicago & Argonne National Laboratory, will present an online seminar at EAIFR this Thursday, 2 December, 2021, entitled, "Quantum simulations of materials for sustainable energy generation and use." The seminar is open to all, and pre-registration is available here.

The talk will discuss recent progress in scoping design rules for so called sustainable materials, namely solids and molecules that are useful to develop sustainable energy sources. Galli explores the use of simulations at the atomistic level, based on the basic laws of quantum mechanics, coupled with various methods rooted in statistical mechanics. Several examples will highlight the successes and open problems of such simulations, in particular oxides for low power electronics and materials for optimal photoelectrodes for water photocatalysis.

Giulia Galli is the Liew Family Professor of Electronic Structure and Simulations in the Pritzker School of Molecular Engineering and in the Department of Chemistry at the University of Chicago. She also holds a Senior Scientist position at Argonne National Laboratory, where she is the director of the Midwest Integrated Center for Computational Materials.  

She is a member of the National Academy of Sciences, the American Academy of Arts and Science, and the International Academy of Quantum Molecular Science, and a Fellow of the American Physical Society and the American Association for the Advancement of Science. Her recognitions include the Theory Award from the Materials Research Society, the David Adler Award in Materials Physics and the Aneesur Rahman Prize for Computational Physics from the American Physical Society, the Feynman Nanotechnology Prize in Theory, the Medal of the Schola Physica Romana and the Tomassoni-Chisesi award from La Sapienza University in Italy. 


She is an expert in the development of theoretical and computational methods to predict and engineer material and molecular properties from quantum simulations. (https://galligroup.uchicago.edu/).