1,031,880 research outputs found
Coupled Spin and Pseudo-magnetic Field in Graphene Nanoribbons
Pseudo-magnetic field becomes an experimental reality after the observation
of zero-field Landau level-like quantization in strained graphene, but it is
not expected that the time-reversal symmetric pseudo-magnetic fields will have
any effect on the spin degree of freedom of the charge carriers. Here, we
demonstrate that spin-orbit coupling (SOC) could act as a bridge between
pseudo-magnetic field and spin. In quantum spin Hall (QSH) states, the
direction of the spin of edge states is tied to their direction of motion
because of the SOC. The pseudo-magnetic field affects the clockwise and
counter-clock-wise edge currents of the QSH states, and consequently lifts the
degenerate edge states of opposite spin orientation. Because of opposite signs
of the pseudo-magnetic field in two valleys of graphene, the one-dimensional
charge carriers at the two opposite edges have different group velocities, and
in some special cases the edge states can only propagate at one edge of the
nanoribbon and the group velocity at the other edge becomes zero.Comment: 4 figure
A Novel Genetic Algorithm using Helper Objectives for the 0-1 Knapsack Problem
The 0-1 knapsack problem is a well-known combinatorial optimisation problem.
Approximation algorithms have been designed for solving it and they return
provably good solutions within polynomial time. On the other hand, genetic
algorithms are well suited for solving the knapsack problem and they find
reasonably good solutions quickly. A naturally arising question is whether
genetic algorithms are able to find solutions as good as approximation
algorithms do. This paper presents a novel multi-objective optimisation genetic
algorithm for solving the 0-1 knapsack problem. Experiment results show that
the new algorithm outperforms its rivals, the greedy algorithm, mixed strategy
genetic algorithm, and greedy algorithm + mixed strategy genetic algorithm
Group and Tri-bimaximal Neutrino Mixing -- A Renormalizable Model
The tetrahedron  group has been widely used in studying neutrino mixing
matrix. It provides a natural framework of model building for the tri-bimaximal
mixing matrix. In this class of models, it is necessary to have two Higgs
fields,  and , transforming under  as 3 with one of them
having vacuum expectation values for the three components to be equal and
another having only one of the components to be non-zero. These specific vev
structures require separating  and  from communicating with each
other. The clash of the different vev structures for  and  is the
so called sequestering problem. In this work, I show that it is possible to
construct renormalizable supersymmetric models producing the tri-bimaximal
neutrino mixing with no sequestering problem.Comment: 4 page
- …
