1,196 research outputs found
Trajectory and smooth attractors for Cahn-Hilliard equations with inertial term
The paper is devoted to a modification of the classical Cahn-Hilliard
equation proposed by some physicists. This modification is obtained by adding
the second time derivative of the order parameter multiplied by an inertial
coefficient which is usually small in comparison to the other physical
constants. The main feature of this equation is the fact that even a globally
bounded nonlinearity is "supercritical" in the case of two and three space
dimensions. Thus the standard methods used for studying semilinear hyperbolic
equations are not very effective in the present case. Nevertheless, we have
recently proven the global existence and dissipativity of strong solutions in
the 2D case (with a cubic controlled growth nonlinearity) and for the 3D case
with small inertial coefficient and arbitrary growth rate of the nonlinearity.
The present contribution studies the long-time behavior of rather weak (energy)
solutions of that equation and it is a natural complement of the results of our
previous papers. Namely, we prove here that the attractors for energy and
strong solutions coincide for both the cases mentioned above. Thus, the energy
solutions are asymptotically smooth. In addition, we show that the non-smooth
part of any energy solution decays exponentially in time and deduce that the
(smooth) exponential attractor for the strong solutions constructed previously
is simultaneously the exponential attractor for the energy solutions as well
Filling a silo with a mixture of grains: Friction-induced segregation
We study the filling process of a two-dimensional silo with inelastic
particles by simulation of a granular media lattice gas (GMLG) model. We
calculate the surface shape and flow profiles for a monodisperse system and we
introduce a novel generalization of the GMLG model for a binary mixture of
particles of different friction properties where, for the first time, we
measure the segregation process on the surface. The results are in good
agreement with a recent theory, and we explain the observed small deviations by
the nonuniform velocity profile.Comment: 10 pages, 5 figures, to be appear in Europhys. Let
On the characterisation of paired monotone metrics
Hasegawa and Petz introduced the notion of dual statistically monotone
metrics. They also gave a characterisation theorem showing that
Wigner-Yanase-Dyson metrics are the only members of the dual family. In this
paper we show that the characterisation theorem holds true under more general
hypotheses.Comment: 12 pages, to appear on Ann. Inst. Stat. Math.; v2: changes made to
conform to accepted version, title changed as wel
Poster: Continual Network Learning
We make a case for in-network Continual Learning as a solution for seamless adaptation to evolving network conditions without forgetting past experiences. We propose implementing Active Learning-based selective data filtering in the data plane, allowing for data-efficient continual updates. We explore relevant challenges and propose future research directions
Granular Elasticity without the Coulomb Condition
An self-contained elastic theory is derived which accounts both for
mechanical yield and shear-induced volume dilatancy. Its two essential
ingredients are thermodynamic instability and the dependence of the elastic
moduli on compression.Comment: 4pages, 2 figure
Consteel© EAF and conventional EAF: a comparison in maintenance practices
The present paper highlights the main differences between Consteel® and conventional EAF technologiesregarding scheduled and unscheduled maintenance practices. The study has been made on the basis of datacollected in plants with high maintenance standards and more than 10 years of operational experience.These data have been analyzed and organized in a comparison table where they have been associated with therelevant maintenance costs. The comparison shows that the Consteel® technology achieves a significantreduction in the overall maintenance costs compared to a conventional EAF
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