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Full-Text Articles in Physical Sciences and Mathematics
Estimating The Dynamics Of Kernel-Based Evolving Networks, Gabor Csardi, Katherine J. Strandburg, Laszlo Zalanyi, Jan Tobochnik, Peter Erdi
Estimating The Dynamics Of Kernel-Based Evolving Networks, Gabor Csardi, Katherine J. Strandburg, Laszlo Zalanyi, Jan Tobochnik, Peter Erdi
Katherine J. Strandburg
In this paper we present the application of a novel methodology to scientific citation and collaboration networks. This methodology is designed for understanding the governing dynamics of evolving networks and relies on an attachment kernel, a scalar function of node properties, which stochastically drives the addition and deletion of vertices and edges. We illustrate how the kernel function of a given network can be extracted from the history of the network and discuss other possible applications.
Surface Aided Polarization Reversal In Small Ferroelectric Particles, Chew Khian Hooi, Shin F. G., Chan H. L. W., Osman J., Stamps R. L., Tilley D. R.
Surface Aided Polarization Reversal In Small Ferroelectric Particles, Chew Khian Hooi, Shin F. G., Chan H. L. W., Osman J., Stamps R. L., Tilley D. R.
Chew Khian Hooi
Polarization reversal in ferroelectric particles driven by a pulsed electric field is examined theoretically using Landau-Devonshire-Khalatnikov theory. A significant reduction in reversal times is shown to be possible if certain surface properties and size criteria are met. The surface properties are also shown to control the magnitude of the applied field needed for irreversible switching. An interesting signature of surface effects is found in the switching current. The theory predicts that the switching current for small ferroelectric particles can exhibit double peaks as a function of time. The size and relative times of the peaks provide specific information on the …