335 research outputs found
Surface and Edge States in Topological Semi-metals
We study the topologically non-trivial semi-metals by means of the 6-band
Kane model. Existence of surface states is explicitly demonstrated by
calculating the LDOS on the material surface. In the strain free condition,
surface states are divided into two parts in the energy spectrum, one part is
in the direct gap, the other part including the crossing point of surface state
Dirac cone is submerged in the valence band. We also show how uni-axial strain
induces an insulating band gap and raises the crossing point from the valence
band into the band gap, making the system a true topological insulator. We
predict existence of helical edge states and spin Hall effect in the thin film
topological semi-metals, which could be tested with future experiment. Disorder
is found to significantly enhance the spin Hall effect in the valence band of
the thin films
Massive Dirac fermions and spin physics in an ultrathin film of topological insulator
We study transport and optical properties of the surface states which lie in
the bulk energy gap of a thin-film topological insulator. When the film
thickness is comparable with the surface state decay length into the bulk, the
tunneling between the top and bottom surfaces opens an energy gap and form two
degenerate massive Dirac hyperbolas. Spin dependent physics emerges in the
surface bands which are vastly different from the bulk behavior. These include
the surface spin Hall effects, spin dependent orbital magnetic moment, and spin
dependent optical transition selection rule which allows optical spin
injection. We show a topological quantum phase transition where the Chern
number of the surface bands changes when varying the thickness of the thin
film.Comment: 7 pages, 5 figure
Effective continuous model for surface states and thin films of three dimensional topological insulators
Two-dimensional effective continuous models are derived for the surface
states and thin films of the three-dimensional topological insulator (3DTI).
Starting from an effective model for 3DTI based on the first principles
calculation [Zhang \emph{et al}, Nat. Phys. 5, 438 (2009)], we present
solutions for both the surface states in a semi-infinite boundary condition and
in the thin film with finite thickness. An effective continuous model was
derived for surface states and the thin film 3DTI. The coupling between
opposite topological surfaces and structure inversion asymmetry (SIA) give rise
to gapped Dirac hyperbolas with Rashba-like splittings in energy spectrum.
Besides, the SIA leads to asymmetric distributions of wavefunctions along the
film growth direction, making some branches in the energy spectra much harder
than others to be probed by light. These features agree well with the recent
angle-resolved photoemission spectra of BiSe films grown on SiC
substrate [Zhang et al, arXiv: 0911.3706]. More importantly, we use the
effective model to fit the experimental data and determine the model
parameters. The result indicates that the thin film BiSe lies in
quantum spin Hall region based on the calculation of the Chern number and the
invariant. In addition, strong SIA always intends to destroy the
quantum spin Hall state.Comment: 12 pages, 7 figures, references are update
Spin-orbit scattering in quantum diffusion of massive Dirac fermions
Effect of spin-orbit scattering on quantum diffusive transport of
two-dimensional massive Dirac fermions is studied by the diagrammatic
technique. The quantum diffusion of massive Dirac fermions can be viewed as a
singlet Cooperon in the massless limit and a triplet Cooperon in the large-mass
limit. The spin-orbit scattering behaves like random magnetic fields only to
the triplet Cooperon, and suppresses the weak localization of Dirac fermions in
the large-mass regime. This behavior suggests an experiment to detect the weak
localization of bulk subbands in topological insulator thin films, in which a
narrowing of the cusp of the negative magnetoconductivity is expected after
doping heavy-element impurities. Finally, a detailed comparison between the
conventional two-dimensional electrons and Dirac fermions is presented for
impurities of orthogonal, symplectic, and unitary symmetries.Comment: 5 pages, 3 figures, 2 tables. To be submitted, comments are welcom
Online NIR Analysis and Prediction Model for Synthesis Process of Ethyl 2-Chloropropionate
Online near-infrared spectroscopy was used as a process analysis technique in the synthesis of 2-chloropropionate for the first time. Then, the partial least squares regression (PLSR) quantitative model of the product solution concentration was established and optimized. Correlation coefficient (R2) of partial least squares regression (PLSR) calibration model was 0.9944, and the root mean square error of correction (RMSEC) was 0.018105 mol/L. These values of PLSR and RMSEC could prove that the quantitative calibration model had good performance. Moreover, the root mean square error of prediction (RMSEP) of validation set was 0.036429 mol/L. The results were very similar to those of offline gas chromatographic analysis, which could prove the method was valid
Spin-glass ground state in a triangular-lattice compound YbZnGaO
We report on comprehensive results identifying the ground state of a
triangular-lattice structured YbZnGaO to be spin glass, including no
long-range magnetic order, prominent broad excitation continua, and absence of
magnetic thermal conductivity. More crucially, from the ultralow-temperature
a.c. susceptibility measurements, we unambiguously observe frequency-dependent
peaks around 0.1 K, indicating the spin-glass ground state. We suggest this
conclusion to hold also for its sister compound YbMgGaO, which is confirmed
by the observation of spin freezing at low temperatures. We consider disorder
and frustration to be the main driving force for the spin-glass phase.Comment: Version as accepted to PR
Improved Breath Phase and Continuous Adventitious Sound Detection in Lung and Tracheal Sound Using Mixed Set Training and Domain Adaptation
Previously, we established a lung sound database, HF_Lung_V2 and proposed
convolutional bidirectional gated recurrent unit (CNN-BiGRU) models with
adequate ability for inhalation, exhalation, continuous adventitious sound
(CAS), and discontinuous adventitious sound detection in the lung sound. In
this study, we proceeded to build a tracheal sound database, HF_Tracheal_V1,
containing 11107 of 15-second tracheal sound recordings, 23087 inhalation
labels, 16728 exhalation labels, and 6874 CAS labels. The tracheal sound in
HF_Tracheal_V1 and the lung sound in HF_Lung_V2 were either combined or used
alone to train the CNN-BiGRU models for respective lung and tracheal sound
analysis. Different training strategies were investigated and compared: (1)
using full training (training from scratch) to train the lung sound models
using lung sound alone and train the tracheal sound models using tracheal sound
alone, (2) using a mixed set that contains both the lung and tracheal sound to
train the models, and (3) using domain adaptation that finetuned the
pre-trained lung sound models with the tracheal sound data and vice versa.
Results showed that the models trained only by lung sound performed poorly in
the tracheal sound analysis and vice versa. However, the mixed set training and
domain adaptation can improve the performance of exhalation and CAS detection
in the lung sound, and inhalation, exhalation, and CAS detection in the
tracheal sound compared to positive controls (lung models trained only by lung
sound and vice versa). Especially, a model derived from the mixed set training
prevails in the situation of killing two birds with one stone.Comment: To be submitted, 31 pages, 6 figures, 5 table
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