2000
DOI: 10.1351/pac200072010281
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Localized-density-matrix method and its application to nanomaterials

Abstract: The localized-density-matrix (LDM) method has been developed to calculate the excited state properties of very large systems containing thousands of atoms. It is particularly suitable for simulating the dynamic electronic processes in nanoscale materials, and has been applied to poly(p-phenylenevynelene) (PPV) aggregates and carbon nanotubes. Absorption spectra of PPVs and carbon nanotubes have been calculated and compared to the experiments.

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Cited by 3 publications
(4 citation statements)
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References 40 publications
(47 reference statements)
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“…This technique has been extensively employed to extract absorption spectroscopy in time-domain methods. 4,6,27 It is an important and complicated problem to choose a proper propagation method in time-domain TDDFT. 5 Here we focus on demonstrating the feasibility and accuracy of our method, and use the 4-order Runge-Kutta method to propagate the equation of motion.…”
Section: B D-perturbation On Mos and Time Propagation Schemementioning
confidence: 99%
See 1 more Smart Citation
“…This technique has been extensively employed to extract absorption spectroscopy in time-domain methods. 4,6,27 It is an important and complicated problem to choose a proper propagation method in time-domain TDDFT. 5 Here we focus on demonstrating the feasibility and accuracy of our method, and use the 4-order Runge-Kutta method to propagate the equation of motion.…”
Section: B D-perturbation On Mos and Time Propagation Schemementioning
confidence: 99%
“…Its extensive applications are the best examples. 4,6,27,28,32 We here focus on NOLMO, which is the most localized representation of electron because the localized molecular orbitals, which are linear independent, need not be orthogonal. The absence of orthogonality constraints allows the molecular orbitals to be the most localized ones.…”
Section: Introductionmentioning
confidence: 99%
“…Most linear scaling methods have been developed with OLMOs, e.g. the local space approximation method , and the elongation method. The applications of these methods to large systems, such as nanomaterials or biological systems, show their success. Using OLMOs keeps the equations of the wave function and Fock operators almost unchanged compared to ones of CMOs, while OLMOs possess long-range nonlocalized tails, outside the localization center, which is a detriment to computational efficiency and complicates the transferability of the descriptions of LMOs from one system to another.…”
Section: Introductionmentioning
confidence: 99%
“…There are two types of LMOs: one is the extensively investigated orthogonal LMOs (OLMOs), and the other is the nonorthogonal LMOs (NOLMOs). As the OLMOs generation from CMOs has been largely explored, many (nearly) linear-scaling methods have been developed with this basis, e.g., the local space approximation given by Kirtman et al , and the elongation method proposed by Imamura et al These methods have been widely used on investigating large systems, e.g., nanomaterials or biological systems. Moreover, another reason for using OLMOs in these methods is that the orthogonal properties among the LMOs keep the equations of the wave function and Fock/KS operators almost unchanged. This results in a relatively convenient implementation of computer code.…”
Section: Introductionmentioning
confidence: 99%