Andre Schleife

University of Illinois at Urbana-Champaign

Materials Research


Sung Jun Lim, Andre Schleife, and Andrew M. Smith (2017): Optical Determination of Crystal Phase in Semiconductor Nanocrystals, Nature Communications, Springer Nature, Vol 8, pp14849


Joel B Varley, and André Schleife (2015): Bethe-Salpeter Calculation of Optical-Absorption Spectra of In2O3 and Ga2O3, Semiconductor Science and Technology, IOP Publishing, Vol 30, Num 2, pp024010


Andre Schleife, Erik W. Draeger, Victor M. Anisimov, Alfredo A. Correa, and Yosuke Kanai (2014): Quantum Dynamics Simulation of Electrons in Materials on High-Performance Computers, Comput. Sci. Eng., Institute of Electrical & Electronics Engineers (IEEE), Vol 16, Num 5, pp54--60

17 campus teams to accelerate their research with Blue Waters

Seventeen U of I research teams from a wide range of disciplines have been awarded computational and data resources on the sustained-petascale Blue Waters supercomputer at NCSA. “These diverse projects highlight the breadth of computational research at the University of Illinois,” said Athol Kemball, associate professor of Astronomy and chair of the Illinois allocation review committee. “Illinois has a tremendous pool of talented researchers in fields from political science to chemistry to engineering who can harness the power of Blue Waters to discover and innovate.”.

12 Illinois faculty awarded prestigious Blue Waters Professorships

Twelve University of Illinois faculty members from a range of fields have been selected as Blue Waters Professors, an honor that comes with substantial computing and data resources on the Blue Waters supercomputer at the university’s National Center for Supercomputing Applications (NCSA)..

Blue Waters Illinois allocations awarded to 26 research teams

Twenty-six research teams at the University of Illinois at Urbana-Champaign have been allocated computation time on the National Center for Supercomputing Application's (NCSA) sustained-petascale Blue Waters supercomputer after applying in Fall 2016. These allocations range from 25,000 to 600,000 node-hours of compute time over a time span of either six months or one year. The research pursuits of these teams are incredibly diverse, ranging anywhere from physics to political science..