192 research outputs found
Magnetism: the Driving Force of Order in CoPt. A First-Principles Study
CoPt or FePt equiatomic alloys order according to the tetragonal L10
structure which favors their strong magnetic anisotropy. Conversely magnetism
can influence chemical ordering. We present here {\it ab initio} calculations
of the stability of the L10 and L12 structures of Co-Pt alloys in their
paramagnetic and ferromagnetic states. They show that magnetism strongly
reinforces the ordering tendencies in this system. A simple tight-binding
analysis allows us to account for this behavior in terms of some pertinent
parameters
Origin of the excitonic recombinations in hexagonal boron nitride by spatially resolved cathodoluminescence spectroscopy
The excitonic recombinations in hexagonal boron nitride (hBN) are
investigated with spatially resolved cathodoluminescence spectroscopy in the UV
range. Cathodoluminescence images of an individual hBN crystallite reveals that
the 215 nm free excitonic line is quite homogeneously emitted along the
crystallite whereas the 220 nm and 227 nm excitonic emissions are located in
specific regions of the crystallite. Transmission electron microscopy images
show that these regions contain a high density of crystalline defects. This
suggests that both the 220 nm and 227 nm emissions are produced by the
recombination of excitons bound to structural defects
Building effective models from sparse but precise data
A common approach in computational science is to use a set of of highly
precise but expensive calculations to parameterize a model that allows less
precise, but more rapid calculations on larger scale systems. Least-squares
fitting on a model that underfits the data is generally used for this purpose.
For arbitrarily precise data free from statistic noise, e.g. ab initio
calculations, we argue that it is more appropriate to begin with a ensemble of
models that overfit the data. Within a Bayesian framework, a most likely model
can be defined that incorporates physical knowledge, provides error estimates
for systems not included in the fit, and reproduces the original data exactly.
We apply this approach to obtain a cluster expansion model for the Ca[Zr,Ti]O3
solid solution.Comment: 10 pages, 3 figures, submitted to Physical Review Letter
Imaging the symmetry breaking of molecular orbitals in carbon nanotubes
Carbon nanotubes have attracted considerable interest for their unique
electronic properties. They are fascinating candidates for fundamental studies
of one dimensional materials as well as for future molecular electronics
applications. The molecular orbitals of nanotubes are of particular importance
as they govern the transport properties and the chemical reactivity of the
system. Here we show for the first time a complete experimental investigation
of molecular orbitals of single wall carbon nanotubes using atomically resolved
scanning tunneling spectroscopy. Local conductance measurements show
spectacular carbon-carbon bond asymmetry at the Van Hove singularities for both
semiconducting and metallic tubes, demonstrating the symmetry breaking of
molecular orbitals in nanotubes. Whatever the tube, only two types of
complementary orbitals are alternatively observed. An analytical tight-binding
model describing the interference patterns of ? orbitals confirmed by ab initio
calculations, perfectly reproduces the experimental results
First-principles study of phase stability of Gd-doped EuO and EuS
Phase diagrams of isoelectronic EuGdO and EuGdS
quasi-binary alloy systems are constructed using first-principles calculations
combined with the standard cluster expansion approach and Monte-Carlo
simulations. The oxide system has a wide miscibility gap on the Gd-rich side
but forms ordered compounds on the Eu-rich side, exhibiting a deep asymmetric
convex hull in the formation enthalpy diagram. The sulfide system has no stable
compounds. The large difference in the formation enthalpies of the oxide and
sulfide compounds is due to the contribution of local lattice relaxation, which
is sensitive to the anion size. The solubility of Gd in both EuO and EuS is in
the range of 10-20% at room temperature and quickly increases at higher
temperatures, indicating that highly doped disordered solid solutions can be
produced without the precipitation of secondary phases. We also predict that
rocksalt GdO can be stabilized under appropriate experimental conditions.Comment: 14 pages, 6 figures (some with multiple panels), revtex4 with
embedded ep
Transfer matrix solution of the Wako-Sait\^o-Mu\~noz-Eaton model augmented by arbitrary short range interactions
The Wako-Sait{\^o}-Mu\~noz-Eaton (WSME) model, initially introduced in the
theory of protein folding, has also been used in modeling the RNA folding and
some epitaxial phenomena. The advantage of this model is that it admits exact
solution in the general inhomogeneous case (Bruscolini and Pelizzola, 2002)
which facilitates the study of realistic systems. However, a shortcoming of the
model is that it accounts only for interactions within continuous stretches of
native bonds or atomic chains while neglecting interstretch (interchain)
interactions. But due to the biopolymer (atomic chain) flexibility, the
monomers (atoms) separated by several non-native bonds along the sequence can
become closely spaced. This produces their strong interaction. The inclusion of
non-WSME interactions into the model makes the model more realistic and
improves its performance. In this study we add arbitrary interactions of finite
range and solve the new model by means of the transfer matrix technique. We can
therefore exactly account for the interactions which in proteomics are
classified as medium- and moderately long-range ones.Comment: 15 pages, 2 figure
Cellular Dynamical Mean Field Approach to Strongly Correlated Systems
We propose a cellular version of dynamical-mean field theory which gives a
natural generalization of its original single-site construction and is
formulated in different sets of variables. We show how non-orthogonality of the
tight-binding basis sets enters the problem and prove that the resulting
equations lead to manifestly causal self energies.Comment: RevTex, 4 pages, 1 embedded figur
Ordering in ternary nitride semiconducting alloys
We present a thorough theoretical study of ordering phenomena in nitride
ternary alloys GaInN, AlInN, and AlGaN. Using the Monte Carlo approach and
energetics based on the Keating model we analyze the influence of various
factors on ordering in bulk crystals and epitaxial layers. We characterize the
degree of both short range order (SRO) and long ranger order (LRO) for
different compositions, temperatures and for substrates associated with
different epitaxial strain. For the description of the SRO the Warren-Cowley
parameters related to the first four coordination shells are used. The LRO is
detected by means of the introduced sim-LRO parameter, based on the
Bragg-Williams approach. The description of the observed long-range ordering
patterns and conditions for their occurrence follows
Is the Use of 9/10 HLA Unrelated Donors Still Acceptable in Allogeneic Hematopoietic Stem Cell Transplantation for Hematological Malignancies? Comparison with Transplants from 10/10 HLA Unrelated Donors and Siblings
Fictive Impurity Models: an Alternative Formulation of the Cluster Dynamical Mean Field Method
"Cluster" extensions of the dynamical mean field method to include longer
range correlations are discussed. It is argued that the clusters arising in
these methods are naturally interpreted not as actual subunits of a physical
lattice but as algorithms for computing coefficients in an orthogonal function
expansion of the momentum dependence of the electronic self-energy. The
difficulties with causality which have been found to plague cluster dynamical
mean field methods are shown to be related to the "ringing" phenomenon familiar
from Fourier analysis. The analogy is used to motivate proposals for simple
filtering methods to circumvent them. The formalism is tested by comparison to
low order perturbative calculations and self consistent solutions
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