73 research outputs found
Study of Damage Propagation at the Interface Localization-Delocalization Transition of the Confined Ising Model
The propagation of damage in a confined magnetic Ising film, with short range
competing magnetic fields () acting at opposite walls, is studied by means
of Monte Carlo simulations. Due to the presence of the fields, the film
undergoes a wetting transition at a well defined critical temperature .
In fact, the competing fields causes the occurrence of an interface between
magnetic domains of different orientation. For ) such
interface is bounded (unbounded) to the walls, while right at the
interface is essentially located at the center of the film.
It is found that the spatio-temporal spreading of the damage becomes
considerably enhanced by the presence of the interface, which act as a
''catalyst'' of the damage causing an enhancement of the total damaged area.
The critical points for damage spreading are evaluated by extrapolation to the
thermodynamic limit using a finite-size scaling approach. Furthermore, the
wetting transition effectively shifts the location of the damage spreading
critical points, as compared with the well known critical temperature of the
order-disorder transition characteristic of the Ising model. Such a critical
points are found to be placed within the non-wet phase.Comment: 22 pages, 13 figures include
Knowledge Exchange in Intra-Organizational Innovation Communities: The Role of Cognitive and Affective States
Contextual Priming in Grapheme–Color Synesthetes and Yoked Controls: 400 msec in the Life of a Synesthete
Analysing the Evolvability of Neural Network Agents through Structural Mutations
Abstract. This paper investigates evolvability of artificial neural networks within an artificial life environment. Five different structural mutations are investigated, including adaptive evolution, structure duplication, and incremental changes. The total evolvability indicator, E total, and the evolvability function through time, are calculated in each instance, in addition to other functional attributes of the system. The results indicate that incremental modifications to networks, and incorporating an adaptive element into the evolution process itself, significantly increases neural network evolvability within open-ended artificial life simulations.
Interaction of homogeneous mitochondrial ATPase from rat liver with adenine nucleotides and inorganic phosphate
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