Siesta I - Psi-k

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KIM’s eta & ill-conditioning Effect of eta. Need to predefine it Ill-conditioning: Minimisation algorithm (CG) prop to Condition Number: Max curvature / Min curvature (problem common to many of the schemes)
Other linear-scaling solvers • Divide & Conquer (W. Yang) • Li, Nunes, Vandebilt (LNV) (and variations) [ ] E = E "( r r , r r ') BS • Goedecker’s (two) (Projecting onto Occupied space) ! • Energy renormalisation group (ERG, Baer et al) METALS
Page 1 and 2: Linear-scaling DFT and the SIESTA m
Page 3 and 4: LINEAR SCALING CPU load ~ N 3 Early
Page 5 and 6: Orbital-free linear-scaling DFT •
Page 7 and 8: HARTREE (electrostatics) • SIESTA
Page 9 and 10: SIESTA method Linear-scaling DFT ba
Page 11 and 12: Hard confining potentials A single
Page 13 and 14: Multiple-zeta E. Artacho et al. , P
Page 15 and 16: Linear-scaling matrix-element calcu
Page 17 and 18: Eggbox 50 Ry 4.4 Bohr Common to man
Page 19 and 20: Linear-scaling solution ! ! • Sea
Page 21 and 22: Localised solutions R c
Page 23 and 24: Local minima: a way to see it Consi
Page 25: Kim, Mauri & Galli’s functional M
Page 29 and 30: http://www.uam.es/siesta
Page 31 and 32: Inhibition of cyclin-dependent kina
Page 33 and 34: Candidate material for spintronics
Page 35 and 36: Electronic structure at the LSMO/CN
Page 37 and 38: GGA: LSMO (001) surface. x = 1/3
Page 39 and 40: Acknowledgments Daniel Sanchez-Port

Siesta I - Psi-k

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