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Research:

Professor Zhou's research focuses on numerical linear algebra, scientific computing, and their broad range of applications; especially applications in material sciences and electrical engineering.

He has developed algorithms that greatly improve the efficiency in solving large-scale eigenvalue problems arisen in density functional theory (DFT) calculations. His current research includes extending the polynomial filtered subspace methods for generalized eigenvalue problems; improving/developing more efficient mixing-schemes for self-consistent field calculations; and extending the subspace techniques that have been successful for time-independent DFT to time-dependent DFT calculations.

His publications have appeared in Numerical Linear Algebra and Its Application, Physical Review Letters, Journal of Computational Physics, System and Control Letters, Journal of Applied Mathematics, and Computer Physics Communications.