28 research outputs found
Dirac points with giant spin-orbit splitting in the electronic structure of two-dimensional transition-metal carbides
Two-dimensional (2D) materials, especially their most prominent member,
graphene, have greatly influenced many scientific areas. Moreover, they have
become a base for investigating the relativistic properties of condensed matter
within the emerging field of Dirac physics. This has ignited an intense search
for new materials where charge carriers behave as massless or massive Dirac
fermions. Here, we theoretically show the existence of Dirac electrons in a
series of 2D transition-metal carbides, known as MXenes. They possess twelve
conical crossings in the 1st Brillouin zone with giant spin-orbit splitting.
Our findings indicate that the 2D band structure of MXenes is protected against
external perturbations and preserved even in multilayer phases. These results,
together with the broad possibilities to engineer the properties of these
materials phases, make Dirac MXenes a potential candidate for studying and
developing novel Dirac-physics-based technologies.Comment: 4 figures and supplementar
Dirac points with giant spin-orbit splitting in the electronic structure of two-dimensional transition-metal carbides
Scanner colorimetric characterization for concentration estimation in single-component dyeing systems
Low-temperature synthesis of pure-phase Ti3(Al, Fe)C2 solid solution with magnetic monoatomic layers by replacement reaction
Microencapsulated organic coconut oil as a natural phase change material for thermo-regulating cellulosic fabrics
Constructing strongly-MDS convolutional codes with maximum distance profile
This paper revisits strongly-MDS convolutional codes with maximum distance profile (MDP). These are (non-binary) convolutional codes that have an optimum sequence of column distances and attains the generalized Singleton bound at the earliest possible time frame. These properties make these convolutional codes applicable over the erasure channel, since they are able to correct a large number of erasures per time interval. The existence of these codes have been shown only for some specific cases. This paper shows by construction the existence of convolutional codes that are both strongly-MDS and MDP for all choices of parameters