2013
DOI: 10.1002/pssb.201349247
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Time‐dependent quantum transport theory and its applications to graphene nanoribbons

Abstract: Time‐dependent quantum transport parameters for graphene nanoribbons (GNR) are calculated by the hierarchical equation of motion (HEOM) method based on the nonequilibrium Green's function (NEGF) theory [Xie et al., J. Chem. Phys. 137, 044113 (2012)]. In this paper, a new initial‐state calculation technique is introduced and accelerated by the contour integration for large systems. Some Lorentzian fitting schemes for the self‐energy matrices are developed to effectively reduce the number of Lorentzians and main… Show more

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Cited by 24 publications
(38 citation statements)
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“…The details of this scheme are given in our previous paper [16]. One example for this zigzag graphene ribbon is shown in Fig.…”
Section: B Graphene Nanoribbon System (Tb Model)mentioning
confidence: 99%
See 3 more Smart Citations
“…The details of this scheme are given in our previous paper [16]. One example for this zigzag graphene ribbon is shown in Fig.…”
Section: B Graphene Nanoribbon System (Tb Model)mentioning
confidence: 99%
“…There are some oscillations in the middle part of the spectrum due to the interference effect between the device-lead interfaces. The steady state solution of TDDFT-NEGF is obtained from the rapid residue calculation method developed in our previous papers [16][17]. Then the TDDFT-NEGF simulation is implemented with the 4 th order Runge-Kutta scheme for solving Eqs.…”
Section: B Graphene Nanoribbon System (Tb Model)mentioning
confidence: 99%
See 2 more Smart Citations
“…To account for the time-dependence of the electric field, we use a recently developed numerical method 22 , which is based on the time-dependent non-equilibrium Green's function (TDNEGF) formalism 23,24 in combination with an auxiliary-mode expansion 25 . This approach has already been successfully applied to study time-dependent nanoelectronics [26][27][28][29][30][31][32] and it allows us to obtain the timedependent currents and occupations during and after the pulse has been applied. This information is then used to characterize the spatiotemporal evolution of the electrons in the device.…”
Section: Introductionmentioning
confidence: 99%