13,453 research outputs found
Diffuse-interface model for nanopatterning induced by self-sustained ion etch masking
We construct a simple phenomenological diffuse-interface model for
composition-induced nanopatterning during ion sputtering of alloys. In
simulations, this model reproduces without difficulties the high-aspect ratio
structures and tilted pillars observed in experiments. We investigate the time
evolution of the pillar height, both by simulations and by {\it in situ}
ellipsometry. The analysis of the simulation results yields a good
understanding of the transitions between different growth regimes and supports
the role of segregation in the pattern-formation process.Comment: 10 pages, 3 figures; minor revisions with respect to first version;
figures nicened; journal ref. adde
Hybridizing two-step growth mixture model and exploratory factor analysis to examine heterogeneity in nonlinear trajectories
Empirical researchers are usually interested in investigating the impacts of
baseline covariates have when uncovering sample heterogeneity and separating
samples into more homogeneous groups. However, a considerable number of studies
in the structural equation modeling (SEM) framework usually start with vague
hypotheses in terms of heterogeneity and possible reasons. It suggests that (1)
the determination and specification of a proper model with covariates is not
straightforward, and (2) the exploration process may be computational intensive
given that a model in the SEM framework is usually complicated and the pool of
candidate covariates is usually huge in the psychological and educational
domain where the SEM framework is widely employed. Following
\citet{Bakk2017two}, this article presents a two-step growth mixture model
(GMM) that examines the relationship between latent classes of nonlinear
trajectories and baseline characteristics. Our simulation studies demonstrate
that the proposed model is capable of clustering the nonlinear change patterns,
and estimating the parameters of interest unbiasedly, precisely, as well as
exhibiting appropriate confidence interval coverage. Considering the pool of
candidate covariates is usually huge and highly correlated, this study also
proposes implementing exploratory factor analysis (EFA) to reduce the dimension
of covariate space. We illustrate how to use the hybrid method, the two-step
GMM and EFA, to efficiently explore the heterogeneity of nonlinear trajectories
of longitudinal mathematics achievement data.Comment: Draft version 1.6, 08/08/2020. This paper has not been peer reviewed.
Please do not copy or cite without author's permissio
Collective deformation modes promote fibrous self-assembly in protein-like particles
The self-assembly of particles into organized structures is a key feature of
living organisms and a major engineering challenge. While it may proceed
through the binding of perfectly matched, puzzle-pieces-like particles, many
other instances involve ill-fitting particles that must deform to fit together.
These include some pathological proteins, which have a known propensity to form
fibrous aggregates. Despite this observation, the general relationship between
the individual characteristics of the particles and the overall structure of
the aggregate is not understood. To elucidate it, we analytically and
numerically study the self-assembly of two-dimensional, deformable ill-fitting
particles. We find that moderately sticky particles tend to form equilibrium
self-limited aggregates whose size is set by an elastic boundary layer
associated with collective deformations that may extend over many particles.
Particles with a soft internal deformation mode thus give rise to large
aggregates. Besides, when the particles are incompressible, their aggregates
tend to be anisotropic and fiber-like. Our results are preserved in a more
complex particle model with randomly chosen elastic properties. This indicates
that generic protein characteristics such as allostery and incompressibility
could favor the formation of fibers in protein aggregation, and suggests design
principles for artificial self-assembling structures.Comment: 21 pages, 12 figure
Stopping power of hot QCD plasma
The partonic energy loss has been calculated taking both the hard and soft
contributions for all the processes, revealing the importance of the
individual channels. Cancellation of the intermediate separation scale has been
exhibited. Subtleties related to the identical final state partons have
properly been taken into account. The estimated collisional loss is compared
with its radiative counter part. We show that there exists a critical energy
() below which the collisional loss is more than its radiative
counterpart. In addition, we present closed form formulas for both the
collision probabilities and the stopping power ()Comment: revised version, section added, 9pages with 5 figure
How to identify and characterize strongly correlated topological semimetals
How strong correlations and topology interplay is a topic of great current
interest. In this perspective paper, we focus on correlation-driven gapless
phases. We take the time-reversal symmetric Weyl semimetal as an example
because it is expected to have clear (albeit nonquantized) topological
signatures in the Hall response and because the first strongly correlated
representative, the noncentrosymmetric Weyl-Kondo semimetal CeBiPd,
has recently been discovered. We summarize its key characteristics and use them
to construct a prototype Weyl-Kondo semimetal temperature-magnetic field phase
diagram. This allows for a substantiated assessment of other Weyl-Kondo
semimetal candidate materials. We also put forward scaling plots of the
intrinsic Berry-curvature-induced Hall response vs the inverse Weyl velocity --
a measure of correlation strength, and vs the inverse charge carrier
concentration -- a measure of the proximity of Weyl nodes to the Fermi level.
They suggest that the topological Hall response is maximized by strong
correlations and small carrier concentrations. We hope that our work will guide
the search for new Weyl-Kondo semimetals and correlated topological semimetals
in general, and also trigger new theoretical work.Comment: 22 pages, 5 figures, 2 table
Z_3-graded exterior differential calculus and gauge theories of higher order
We present a possible generalization of the exterior differential calculus,
based on the operator d such that d^3=0, but d^2\not=0. The first and second
order differentials generate an associative algebra; we shall suppose that
there are no binary relations between first order differentials, while the
ternary products will satisfy the cyclic relations based on the representation
of cyclic group Z_3 by cubic roots of unity. We shall attribute grade 1 to the
first order differentials and grade 2 to the second order differentials; under
the associative multiplication law the grades add up modulo 3. We show how the
notion of covariant derivation can be generalized with a 1-form A, and we give
the expression in local coordinates of the curvature 3-form. Finally, the
introduction of notions of a scalar product and integration of the Z_3-graded
exterior forms enables us to define variational principle and to derive the
differential equations satisfied by the curvature 3-form. The Lagrangian
obtained in this way contains the invariants of the ordinary gauge field tensor
F_{ik} and its covariant derivatives D_i F_{km}.Comment: 13 pages, no figure
Mesoscopic molecular ions in Bose-Einstein condensates
We study the possible formation of large (mesoscopic) molecular ions in an
ultracold degenerate bosonic gas doped with charged particles (ions). We show
that the polarization potentials produced by the ionic impurities are capable
of capturing hundreds of atoms into loosely bound states. We describe the
spontaneous formation of these hollow molecular ions via phonon emission and
suggest an optical technique for coherent stimulated transitions of free atoms
into a specific bound state. These results open up new interesting
possibilities for manipulating tightly confined ensembles.Comment: 4 pages (two-columns), 2 figure
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