Primordial magnetic fields could explain the large-scale present in Universe. Inflation and phase transitions early Universe give rise to such with unique characteristics. We investigate magneto-hydrodynamic evolution of these magnetogenesis scenarios cosmological simulations. evolve inflation-generated either as (i) uniform (homogeneous) or (ii) scale-invariant stochastic fields, transition-ge...

Cellular neural networks have found applications both as a platform for high speed image processing, as well as a model for complex spatiotemporal dynamical phenomena. This paper describes spatial pattern formation in a CMOS VLSI implementation of a CNN. With four layers of 32 × 64 cells, this CNN contains the most recurrently interconnected 2D layers of any VLSI CNN implementation to date. Wit...

Pattern formation is an important and complex phenomenon in the physical sciences. Structures form, grow, interact, move and disorganize in unpredictable ways on widely-varying temporal and spatial scales. Often the motions are too subtle or too complicated to be discerned from direct viewing of the experimental system. This work uses image processing of long video clips to extract information ...