2016
DOI: 10.1103/physrevb.94.155444
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Charge order in an interacting monolayer under transverse bias

Abstract: A monolayer of molecules or quantum dots sandwiched between electrodes can be driven out of equilibrium by the application of a bias voltage between the electrodes. We study charge ordering, i.e., the spontaneous formation of a charge density wave, and the perpendicular current in such a system within a master-equation approach augmented by mean-field and classical Monte Carlo methods. Our approach is suitable for weak tunneling between the monolayer and the electrodes. For a square lattice with nearest-neighb… Show more

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Cited by 2 publications
(12 citation statements)
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“…F 16 CoPc/MnPc has a twofold spin degenerate HOMO so that a model with a single orbital per site with interactions should be reasonable. The main difference from the previously studied case [ 15 ] is the asymmetry of the molecule. The asymmetry can be modeled by assuming different tunneling probabilities between the molecular orbital and the two electrodes.…”
Section: Resultsmentioning
confidence: 65%
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“…F 16 CoPc/MnPc has a twofold spin degenerate HOMO so that a model with a single orbital per site with interactions should be reasonable. The main difference from the previously studied case [ 15 ] is the asymmetry of the molecule. The asymmetry can be modeled by assuming different tunneling probabilities between the molecular orbital and the two electrodes.…”
Section: Resultsmentioning
confidence: 65%
“…An advanced theoretical description extending the mean-field-type description within the DFT-NEGF approach requires a method that can deal with strong interactions in systems far from equilibrium, and the prime candidate is again the ME approach discussed in Section ’DFT combined with the master equation’, ideally using parameters from DFT calculations. The non-local interaction adds another level of complication [ 15 , 79 ]. In the sequential-tunneling and diagonal approximation described above, this interaction can be treated essentially exactly using Monte Carlo simulations [ 15 ].…”
Section: Resultsmentioning
confidence: 99%
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