THE SIESTA METHOD:  PRESENT STATUS AND FUTURE PROSPECTS

 

Julian D. Gale,a Emilio Artacho,b Alberto Garca,c Javier Junquera,d Pablo Ordejn,e Daniel Snchez-Portalf and Jos M. Solerg

 

aDepartment of Chemistry, Imperial College London, South Kensington, SW7 2AZ, U.K.;  bDepartment of Earth Sciences, University of Cambridge, Downing Street, Cambridge, CB2 3EQ, U.K.; cDepartamento de Fsica de la Materia Condensada, Universidad del Pas Vasco, Apt. 644, 48080 Bilbao, Spain; dInstitut de Physique, Btiment B5, Universit de Lige, B-4000 Sart-Tilman, Belgium; eInstitut de Cincia de Materials de Barcelona, CSIC, Campus de la UAB, Bellaterra, 08193 Barcelona, Spain; fDep. de Fsica de Materiales and DIPC, Facultad de Qumica, UPV/EHU, Apt. 1072, 20080 Donostia, Spain; gDep. de Fsica de la Materia Condensada, C-III, Universidad Autnoma de Madrid, E-28049 Madrid, Spain (j.gale@imperial.ac.uk).

 

 

In order to achieve the goal of being able to perform ab initio electronic structure calculations on very large molecular and condensed matter systems it is necessary to address the issue of the calculation scaling with increasing system size. Here the details of the SIESTA method [1,2] will be presented, which makes it possible to perform calculations that scale linearly with increasing numbers of atoms, both in computational expense and memory usage. This is achieved through the use of radially confined basis functions that lead to sparse matrices, in combination with an auxillary basis of a real space mesh for the evaluation of the Hartree and exchange-correlation potentials. In addition, linear scaling requires the use of functional minimization approaches to solve for self-consistency, though conventional matrix diagonalisation is also available. Through the use of parallel computing, and the above methodology, it is now quite feasible to perform  ab initio calculations on thousands of atoms.

Many standard observables of electronic structure theory may be obtained including electron and spin densities, optimized structural configurations, phonons, as well as dynamical information. Examples will be given of the application of the technique, as well as possible directions for future advancement.

 

References

1           Artacho, E., Snchez-Portal, D., Ordejn, P., Garca, A., and Soler, J.M. (1999) Phys. Stat. Sol. B 215, 809-817.

2           Soler, J.M., Artacho, E., Gale, J.D., Garca, A., Junquera, J., Ordejn, P. and Snchez-Portal, D. (2002) J. Phys.: Condens. Matter 14, 2745-2779.