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Interior Eigenvalues from Density Matrix Expansions in Quantum Mechanical Molecular Dynamics
Author(s) -
Emanuel H. Rubensson,
Anders M. N. Niklasson
Publication year - 2014
Publication title -
siam journal on scientific computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.674
H-Index - 147
eISSN - 1095-7197
pISSN - 1064-8275
DOI - 10.1137/130911585
Subject(s) - eigenvalues and eigenvectors , mathematics , density matrix , acceleration , quantum , matrix (chemical analysis) , computational complexity theory , polynomial , taylor series , molecular dynamics , statistical physics , mathematical analysis , quantum mechanics , algorithm , physics , chemistry , chromatography
An accelerated polynomial expansion scheme to construct the density matrix in quantum mechanical molecular dynamics simulations is proposed. The scheme is based on recursive density matrix expansions, e.g., [A. M. N. Niklasson, Phys. Rev. B, 66 (2002), 155115], which are accelerated by a scale-and-fold technique [E. H. Rubensson, J. Chem. Theory Comput., 7 (2011), pp. 1233--1236]. The acceleration scheme requires interior eigenvalue estimates, which may be expensive and cumbersome to come by. Here we show how such eigenvalue estimates can be extracted from the recursive expansion by a simple and robust procedure at a negligible computational cost. Our method is illustrated with density functional tight-binding Born--Oppenheimer molecular dynamics simulations, where the computational effort is dominated by the density matrix construction. In our analysis we identify two different phases of the recursive polynomial expansion, the conditioning and purification phases, and we show that the acceleration repres...

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