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Optical Absorption Spectra Calculated Using Linear-Scaling Density-Functional Theory

Optical Absorption Spectra Calculated Using Linear-Scaling Density-Functional Theory

Laura Ratcliff

135,73 €
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Editorial:
Springer Nature B.V.
Año de edición:
2015
Materia
Física atómica y molecular
ISBN:
9783319033730
135,73 €
IVA incluido
Disponible

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The development of linear-scaling density functional theory (LS-DFT) has made ab initio calculations on systems containing thousands of atoms possible. These systems range from nanostructures to biomolecules. These methods rely on the use of localized basis sets, which are optimised for the representation of occupied Kohn-Sham states but do not guarantee an accurate representation of the unoccupied states. This is problematic if one wishes to combine the power of LS-DFT with that of theoretical spectroscopy, which provides a direct link between simulation and experiment. In this work a new method is presented for optimizing localized functions to accurately represent the unoccupied states, thus allowing theoretical spectroscopy of large systems. Results are presented for optical absorption spectra calculated using the ONETEP code, but the method is equally applicable to other spectroscopies and LS formulations. Other topics covered include a study of some simple one dimensional basis sets and the presentation of two methods for band structure calculation using localized basis sets, both of which have important implications for the use of localized basis sets within LS-DFT.

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Otros libros del autor

  • Optical Absorption Spectra Calculated Using Linear-Scaling Density-Functional Theory
    Laura Ratcliff
    The development of linear-scaling density functional theory (LS-DFT) has made ab initio calculations on systems containing thousands of atoms possible. These systems range from nanostructures to biomolecules. These methods rely on the use of localized basis sets, which are optimised for the representation of occupied Kohn-Sham states but do not guarantee an accurate representat...