7,433 research outputs found
Quantum transport through the edge states of Zigzag phosphorene nanoribbons in presence of a single point defect: analytic Green's function method
Zigzag phosphorene nanoribbons have quasi-flat band edge modes entirely
detached from the bulk states. We analytically study the electronic transport
through such edge states in the presence of a localized defect for
semi-infinite and finite ribbons. Using the tight-binding model, we derive
analytical expressions for the Green's function and transmission amplitude of
both pristine and defective nanoribbons. We find that the transmission of both
semi-infinite and finite ribbons is sensitive to the location of a single
impurity defect with respect to the edge. By the presence of an impurity on the
outermost edge site of the ribbon, the transmission through the edge channel,
similar to a one-dimensional chain, strongly suppresses for the entire energy
spectrum of the quasi-flat band. In contrast, the transmission of low-energy
states, is robust as the impurity is moved one position far away
from the edge on the same sub-lattice. The analytical calculations are also
complemented by exact numerical transport computations using the Landauer
approach
A Decentralized Framework for Real-Time Energy Trading in Distribution Networks with Load and Generation Uncertainty
The proliferation of small-scale renewable generators and price-responsive
loads makes it a challenge for distribution network operators (DNOs) to
schedule the controllable loads of the load aggregators and the generation of
the generators in real-time. Additionally, the high computational burden and
violation of the entities' (i.e., load aggregators' and generators') privacy
make a centralized framework impractical. In this paper, we propose a
decentralized energy trading algorithm that can be executed by the entities in
a real-time fashion. To address the privacy issues, the DNO provides the
entities with proper control signals using the Lagrange relaxation technique to
motivate them towards an operating point with maximum profit for entities. To
deal with uncertainty issues, we propose a probabilistic load model and robust
framework for renewable generation. The performance of the proposed algorithm
is evaluated on an IEEE 123-node test feeder. When compared with a benchmark of
not performing load management for the aggregators, the proposed algorithm
benefits both the load aggregators and generators by increasing their profit by
17.8%and 10.3%, respectively. When compared with a centralized approach, our
algorithm converges to the solution of the DNO's centralized problem with a
significantly lower running time in 50 iterations per time slot.Comment: 8 pages, 10 figure
Gorenstein -projectivity with respect to a tilting module
Let be a tilting module. In this paper, Gorenstein -projective
modules are introduced and some of their basic properties are studied.
Moreover, some characterizations of rings over which all modules are Gorenstein
-projective are given. For instance, on the -cocoherent rings, it is
proved that the Gorenstein -projectivity of all -modules is
equivalent to the -projectivity of -injective as a module.Comment: 12 page
On a class of distributions generated by stochastic mixture of the extreme order statistics of a sample of size two
This paper considers a family of distributions constructed by a stochastic
mixture of the order statistics of a sample of size two. Various properties of
the proposed model are studied. We apply the model to extend the exponential
and symmetric Laplace distributions. An extension to the bivariate case is
considered
Tunable transmission due to defects in zigzag phosphorene nanoribbons
Transport of the edge-state electrons along zigzag phosphorene nanoribbons in
presence of two impurities/vacancies is analytically investigated. Considering
the places of the defects, a number of different situations are examined. When
both defects are placed on the edge zigzag chain, as is expected, with changing
the energy of the traveling electrons the electrical conductance exhibits a
resonance behavior. In this case, for two vacancies the observed resonant peaks
become extremely sharp. An amazing behavior is seen when the second vacancy is
located along an armchair chain while the first is placed at the intersection
of the edge zigzag and this armchair chains. In this case, in a considerable
range of energy, the conductance is strongly strengthened. In fact the presence
of the second vacancy create a shielded region around the first vacancy,
consequently, the traveling wave bypasses this region and enhances the
conductivity. The analytical results are compared with numerical simulations
showing a very good agreement
Two-impurity-entanglement generation by electron scattering in zigzag phosphorene nanoribbons
In this paper, we investigate how two on-side doped impurities with net
magnetic moments in an edge chain of a zigzag phosphorene nanoribbon~(zPNR) can
be entangled by scattering of the traveling edge-state electrons. To this end,
in the first step, we employ the Lippmann-Schwinger equation as well as the
Green's function approach to study the scattering of the free traveling
electrons from two magnetic impurities in a one-dimensional tight-binding
chain. Then, following the same formalism, that is shown that the behavior of
two on-side spin impurities in the edge chain of a zPNR in responding to the
scattering of the edge-state traveling electrons is very similar to what
happens for the one-dimensional chain. In both cases, considering a known
incoming wave state, the reflected and transmitted parts of the final wave
state are evaluated analytically. Using the obtained results, the related
partial density matrices and the reflection and transmission probabilities are
computable. Negativity as a measure of the produced entanglement in the final
state is calculated and the results are discussed. Our theoretical model
actually proposes a method, which is perhaps experimentally performable to
create the entanglement in the state of the impurities
Reply to "Comment on Anderson Transition in Disordered Graphene"
We show that the very small numeric effects discussed in the comment by
Schleede et al (arXiv:1005.0497) is not the source of mobility edge predicted
in graphene in our letter [Eur. Phys. Lett., 87 (2009) 37002].Comment: two pages, two figure
Vacancy-induced Fano resonances in zigzag phosphorene nanoribbons
Motivated by recent scanning tunneling microscopy/spectroscopy experiments on
probing single vacancies in black phosphorus, we present a theory for Fano
antiresonances induced by coupling between vacancy states and edge states of
zigzag phosphorene nanoribbons (zPNRs). To this end, in the first step, using
the tight-binding Hamiltonian, we obtain an analytic solution on the lattice
for the state associated to a single vacancy located in the bulk phosphorene
which shows a highly anisotropic localization in real space. For a finite
zigzag ribbon, in the absence of particle-hole symmetry, the localized state
induced by vacancies can couple to the wave functions of the edge states which
results in the formation of a new bound state. The energy of vacancy bound
state lies inside the quasi-flat band composed of edge states when the vacancy
locates sufficiently far away from the edge. Then, we employ the T-matrix
Lippmann-Schwinger approach to obtain an explicit analytical expression for the
scattering amplitude of the edge electrons of a zPNR by the presence of a
single vacancy which shows a Fano resonance profile with a tunable dip. We
demonstrate that varying the position of the vacancy produces substantially
different effects on the resonance width, resonance energy position, and the
asymmetry parameter of Fano line shape. Furthermore, the validity of the
theoretical descriptions is verified numerically by using the Landauer
approach
A Decentralized Trading Algorithm for an Electricity Market with Generation Uncertainty
The uncertainties of the renewable generation units and the proliferation of
price-responsive loads make it a challenge for independent system operators
(ISOs) to manage the energy trading market in the future power systems. A
centralized energy market is not practical for the ISOs due to the high
computational burden and violating the privacy of different entities, i.e.,
load aggregators and generators. In this paper, we propose a day-ahead
decentralized energy trading algorithm for a grid with generation uncertainty.
To address the privacy issues, the ISO determines some control signals using
the Lagrange relaxation technique to motivate the entities towards an operating
point that jointly optimize the cost of load aggregators and profit of the
generators, as well as the risk of the generation shortage of the renewable
resources. More, specifically, we deploy the concept of
conditional-value-at-risk (CVaR) to minimize the risk of renewable generation
shortage. The performance of the proposed algorithm is evaluated on an IEEE
30-bus test system. Results show that the proposed decentralized algorithm
converges to the solution of the ISO's centralized problem in 45 iterations. It
also benefits both the load aggregators by reducing their cost by 18% and the
generators by increasing their profit by 17.1%.Comment: 9 pages, 11 figure
Harmonic Operators of Ergodic Quantum Group Actions
In this paper we study the harmonic elements of (convolution) Markov maps
associated to (ergodic) actions of locally compact quantum groups on
(-finite) von Neumann algebras. We give several equivalent conditions
under which the harmonic elements are trivial
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