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Saad_Y

Research Abstracts Online
January 2009 - March 2010

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University of Minnesota Twin Cities
Institute of Technology
Department of Computer Science and Engineering

PI: Yousef Saad, Fellow

Development of Efficient Petascale Algorithms for Inhomogeneous Quantum-mechanical Systems

Time-dependent Density Functional Theory

Materials Informatics: Computational Tools for Discovery and Design

These researchers are involved in three projects using MSI. The first is a collaborative project for the development of efficient algorithms applied to dynamical mean-field theory. The theory, a direct application of quantum mechanics, heavily employs eigenvalue problem solvers. The goal of this project is to take advantage of the rapid and efficient Lanczos algorithm.

The second project, called PARSEC, has two main goals. The first goal is the development of new, novel computational techniques for electronic structure calculations. The second goal of PARSEC is to develop new methods to study applications in nanoscience and semiconductors.

The goal of the third project is to invent new, transformative strategies to exploit the dramatic increase of computational power to screen thousands of candidate materials that might exhibit some desired property. The project employs methods based on materials informatics.

Group Members

Pierre Carrier, Research Associate
Jie Chen, Graduate Student
Haw-Ren Fang, Research Associate
James Freericks, Department of Physics, Georgetown University, Washington, D.C.
Die Li, Graduate Student
Ruipeng Li, Graduate Student
Thanh T. Ngo, Graduate Student
Daniel Osei-Kuffor, Graduate Student
Sohia Sakellaridi, Graduate Student