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doi:10.1016/j.cpc.2004.12.003    
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Copyright © 2004 Elsevier B.V. All rights reserved.

Efficient computation of the coupling matrix in time-dependent density functional theorystar, open

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Emmanuel Lorin de la Grandmaisona, Shivaraju B. Gowdab, Yousef Saadb, Corresponding Author Contact Information, E-mail The Corresponding Author, Murilo L. Tiagoc and James R. Chelikowskyc

aDépartement de Mathématiques, Université d'Orsay, 91405 Orsay (France) and Centre de Mathématiques et de Leurs Applications, Ecole Normale Supérieure de Cachan, 94235 Cachan, France

bDepartment of Computer Science and Engineering, Institute for the Theory of Advanced Materials in Information Technology, Digital Technology Center, University of Minnesota, Minneapolis, MN 55455, USA

cDepartment of Chemical Engineering and Materials Science, Institute for the Theory of Advanced Materials in Information Technology, Digital Technology Center, University of Minnesota, Minneapolis, MN 55455, USA


Received 3 August 2004; 
revised 2 December 2004; 
accepted 7 December 2004. 
Available online 12 February 2005.

Abstract

We present an efficient implementation of the computation of the coupling matrix arising in time-dependent density functional theory. The two important aspects involved, solution of Poisson's equation and the assembly of the coupling matrix, are investigated in detail and proper approximations are used. Poisson's equation is solved in the reciprocal space and bounded support of the wave functions are exploited in the numerical integration. Experiments show the new implementation is more efficient by an order of magnitude when compared with a standard real-space code. The method is tested to compute optical spectra of realistic systems with hundreds of atoms from first principles. Details of the formalism and implementation are provided and comparisons with a standard real-space code are reported.

PACS: 71.15.Mb; 71.15.Qe

Article Outline

1. Introduction
2. Formalism
3. Coupling matrix construction
4. Solution of Poisson's equation
4.1. Computation of uncorrected Φij
4.2. Cut-off methods
4.3. Long-range and short-range splitting
4.4. Practical computation of Φij
5. Assembling the coupling matrix
5.1. Exploiting the bounded support of the wave functions
5.2. Computational costs and parallelization aspects
6. Numerical results
6.1. Optical absorption of hydrogenated silicon
6.2. Timings
7. Conclusion
Acknowledgements
References








star, openWork supported by NSF grants ITR-0082094, DMR-0325218, by DOE under Grants DE-FG02-03ER25585, DE-FG02-03ER15491, and by the Minnesota Supercomputing Institute.


Corresponding Author Contact InformationCorresponding author.

 
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