418 research outputs found
Thermally activated interface motion in a disordered ferromagnet
We investigate interface motion in disordered ferromagnets by means of Monte
Carlo simulations. For small temperatures and driving fields a so-called creep
regime is found and the interface velocity obeys an Arrhenius law. We analyze
the corresponding energy barrier as well as the field and temperature
dependence of the prefactor.Comment: accepted for publication in Computer Physics Communication
Interface Motion in Disordered Ferromagnets
We consider numerically the depinning transition in the random-field Ising
model. Our analysis reveals that the three and four dimensional model displays
a simple scaling behavior whereas the five dimensional scaling behavior is
affected by logarithmic corrections. This suggests that d=5 is the upper
critical dimension of the depinning transition in the random-field Ising model.
Furthermore, we investigate the so-called creep regime (small driving fields
and temperatures) where the interface velocity is given by an Arrhenius law.Comment: some misprints correcte
Creep motion in a random-field Ising model
We analyze numerically a moving interface in the random-field Ising model
which is driven by a magnetic field. Without thermal fluctuations the system
displays a depinning phase transition, i.e., the interface is pinned below a
certain critical value of the driving field. For finite temperatures the
interface moves even for driving fields below the critical value. In this
so-called creep regime the dependence of the interface velocity on the
temperature is expected to obey an Arrhenius law. We investigate the details of
this Arrhenius behavior in two and three dimensions and compare our results
with predictions obtained from renormalization group approaches.Comment: 6 pages, 11 figures, accepted for publication in Phys. Rev.
The depinning transition of a driven interface in the random-field Ising model around the upper critical dimension
We investigate the depinning transition for driven interfaces in the
random-field Ising model for various dimensions. We consider the order
parameter as a function of the control parameter (driving field) and examine
the effect of thermal fluctuations. Although thermal fluctuations drive the
system away from criticality the order parameter obeys a certain scaling law
for sufficiently low temperatures and the corresponding exponents are
determined. Our results suggest that the so-called upper critical dimension of
the depinning transition is five and that the systems belongs to the
universality class of the quenched Edward-Wilkinson equation.Comment: accepted for publication in Phys. Rev.
Fulminant Endogenous Anterior Uveitis due to Listeria monocytogenes
Purpose: To report an unusual case of fulminant anterior uveitis, confirmed as endogenous Listeria monocytogenes infection. Subject: A 67-year-old man with multiple comorbidities acutely developed a severe endogenous anterior uveitis. Results:L. monocytogenes, a ubiquitous Gram-positive bacillus, was directly indicated by culture and PCR. Early and aggressive treatment with intravenous antibiotics likely prevented the endophthalmitis which most cases on record experienced. Our patient regained satisfactory visual acuity. Conclusions: Prompt antimicrobial therapy is paramount when severe endogenous uveitis develops in a patient with comorbidities, especially with systemic immunosuppression. Treatment solely with corticosteroids should be avoided
Monte Carlo Dynamics of driven Flux Lines in Disordered Media
We show that the common local Monte Carlo rules used to simulate the motion
of driven flux lines in disordered media cannot capture the interplay between
elasticity and disorder which lies at the heart of these systems. We therefore
discuss a class of generalized Monte Carlo algorithms where an arbitrary number
of line elements may move at the same time. We prove that all these dynamical
rules have the same value of the critical force and possess phase spaces made
up of a single ergodic component. A variant Monte Carlo algorithm allows to
compute the critical force of a sample in a single pass through the system. We
establish dynamical scaling properties and obtain precise values for the
critical force, which is finite even for an unbounded distribution of the
disorder. Extensions to higher dimensions are outlined.Comment: 4 pages, 3 figure
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