2006
DOI: 10.1016/j.susc.2005.12.008
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Converged properties of clean metal surfaces by all-electron first-principles calculations

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Cited by 262 publications
(255 citation statements)
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References 70 publications
(141 reference statements)
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“…33,34 Thus, we found deviations of about 2.7%, which is typical of DFT-PBE calculations for semiconductor and metal systems. 72,73 The 3Ge-Te-3Sb rule leads to the intermixing of Ge and Sb atoms in the same ͑111͒ planes and the formation of two distinct bond lengths for Ge-Te ͑2.87 and 3.24 Å, ⌬ b = 0.37 Å͒ and Sb-Te ͑2.96 and 3.30 Å, ⌬ b = 0.34 Å͒, which are important finger prints to prove that our structure model for m-GST provides a correct description of the experimental findings. For example, Kolobov et al 37 employing EXAFS identified two bond lengths in m-GST, i.e., 2.83Ϯ 0.01 and 3.2Ϯ 0.3 Å ͑⌬ b = 0.37 Å͒ for Ge-Te, and 2.91Ϯ 0.01 and 3.2Ϯ 0.3 Å ͑⌬ b = 0.29 Å͒ for Sb-Te.…”
Section: A Metastable Gst Crystalline Phasementioning
confidence: 99%
“…33,34 Thus, we found deviations of about 2.7%, which is typical of DFT-PBE calculations for semiconductor and metal systems. 72,73 The 3Ge-Te-3Sb rule leads to the intermixing of Ge and Sb atoms in the same ͑111͒ planes and the formation of two distinct bond lengths for Ge-Te ͑2.87 and 3.24 Å, ⌬ b = 0.37 Å͒ and Sb-Te ͑2.96 and 3.30 Å, ⌬ b = 0.34 Å͒, which are important finger prints to prove that our structure model for m-GST provides a correct description of the experimental findings. For example, Kolobov et al 37 employing EXAFS identified two bond lengths in m-GST, i.e., 2.83Ϯ 0.01 and 3.2Ϯ 0.3 Å ͑⌬ b = 0.37 Å͒ for Ge-Te, and 2.91Ϯ 0.01 and 3.2Ϯ 0.3 Å ͑⌬ b = 0.29 Å͒ for Sb-Te.…”
Section: A Metastable Gst Crystalline Phasementioning
confidence: 99%
“…The surface energies calculated by Vitos et al [13] and Feibelman [14,56] used density functional theory in the general gradient approximation (GGA) while Mansfield and Needs [8] as well as Yu et al [16,18] used DFT in the local density approximation (LDA). Surface energies for Pb and other metals calculated with GGA are about 30% lower than those with LDA [16,20]. The LDA yields better agreement with experiment, which is believed to be due to a better error cancellation of the surface exchange and correlation energy [57,[80][81][82].…”
Section: Comparison Of Theory and Experimentsmentioning
confidence: 87%
“…More recently, full potential first principles calculations have produced surface energies of many crystalline materials [7][8][9][10][11][12][13][14][15][16][17][18] mostly for low-index orientations. Although there can be considerable scatter in theoretical values for a single material and orientation [16,19], it has been suggested by u Fax: +49 2461 61 2950, E-mail: h.bonzel@fz-juelich.de some authors that the lack of experimental surface energy data for well-defined orientations may be replaced by ab initio calculations [15,17,20].…”
Section: Introductionmentioning
confidence: 99%
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“…As for electronic properties, the work functions of metals, and the ionization potentials of insulators are typically given within a few tenths of an eV of the corresponding experimental values [29], with a slight trend to overestimation of these quantities. LDA is less successful, however, when calculating electronic band gaps, where it is known to underestimate the size of the gap on the scale of 50% [30].…”
Section: Exchange and Correlation Functionalsmentioning
confidence: 99%