2016
DOI: 10.1063/1.4954237
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An efficient numerical scheme for the discrete Wigner transport equation via the momentum domain narrowing

Abstract: We propose a numerical scheme that narrows down the momentum domain of the Wigner function to enhance numerical efficiency. It enables us to decrease the number of mesh points while maintaining the same mesh spacing in the momentum coordinate. The proposed scheme thus not only requires less memory but can significantly reduce the computation time. To minimize resultant loss of numerical accuracy, we also propose the partial local potential averaging method.

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Cited by 8 publications
(6 citation statements)
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“…In the case if there is onlyVy = ℏ sin(xdp/ℏ)/dp interaction in the PISB model, (i.e.Vx = 0), we encounter the divergent term iℏηδ(0)[(Vy) 2 ,ρ(t)] that arises from the second term in the RHS of Eq. (34). BecauseVy reduce to the linear operator of the coordinateVy ≈x in the large N limit, the PISB model in this condition corresponds to the Caldeira-Leggett model without a counter term: Divergent term arises because we exclude the counter term in the bath Hamiltonian, Eq.…”
Section: B Qme For 2d Pisb Model and Counter Termmentioning
confidence: 99%
“…In the case if there is onlyVy = ℏ sin(xdp/ℏ)/dp interaction in the PISB model, (i.e.Vx = 0), we encounter the divergent term iℏηδ(0)[(Vy) 2 ,ρ(t)] that arises from the second term in the RHS of Eq. (34). BecauseVy reduce to the linear operator of the coordinateVy ≈x in the large N limit, the PISB model in this condition corresponds to the Caldeira-Leggett model without a counter term: Divergent term arises because we exclude the counter term in the bath Hamiltonian, Eq.…”
Section: B Qme For 2d Pisb Model and Counter Termmentioning
confidence: 99%
“…These distributions arose owing to the finite difference operator of the potential term in Eq. (34), which created the positive and negative populations W (p N +1 , q k ) and −W (p −(N +1) , q k ) from W (p 0 , q k ). The sign of these distributions changed at q = q 0 , because of the presence of the prefactor sin (x k dp/ ).…”
Section: P(p)mentioning
confidence: 99%
“…Various numerical schemes for the WDF, including the implementation of boundary conditions, for example inflow, outflow, or absorbing boundary conditions [25,26,27], and a Fourier based treatment of potential operators [1,3], have been developed. Varieties of application for quantum electronic devices [28,29,30,31,32,33,34,35], most notably the RTD [36,37,38,39,40,41,42,43,44,45,46] that includes the results from the QHFPE approach [22,23,24], quantum ratchet [47,48,49], chemical reaction [13,14], multi-state nonadiabatic electron transfer dynamics [50,51,52,53,54,55], photo-isomerization through a conical intersection [56], molecular motor [57], linear and nonlinear spectroscopies [58,59,60], in which the quantum entanglement between the system and bath plays an essential role, have been investigated.…”
Section: Introductionmentioning
confidence: 99%
“…Various numerical schemes for the WDF, including implementation of boundary conditions, such as inflow, outflow, or absorbing boundary conditions [25][26][27], and a Fourier based treatment of potential operators have been developed [1,3]. Varieties of application for quantum electronic devices [28][29][30][31][32][33][34][35], most notably the RTD [36][37][38][39][40][41][42][43][44][45][46] that includes the results from the QHFPE approach [22][23][24], quantum ratchet [47][48][49], chemical reaction [13,14], multi-state nonadiabatic electron transfer dynamics [50][51][52][53][54][55], photo-isomerization through a conical intersection [56], molecular motor [57], linear and nonlinear spectroscopies [58][59][60], in which the quantum entanglement between the system and bath plays an essential role, have been investigated.…”
Section: Introductionmentioning
confidence: 99%