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Computational Physics - New computational physics research from P. Jenny et al outlined

  2010 MAR 23 - (VerticalNews.com) -- According to recent research published in the Journal of Computational Physics, "In this paper, a stochastic model is presented to simulate the flow of gases, which are not in thermodynamic equilibrium, like in rarefied or micro situations. For the interaction of a particle with others, statistical moments of the local ensemble have to be evaluated, but unlike in molecular dynamics simulations or DSMC, no collisions between computational particles are considered. ...read more


Computational Physics - Studies from University of Sydney add new findings in the area of computational physics

  2010 MAR 23 - (VerticalNews.com) -- According to recent research from Sydney, Australia, "Upon discerning the mere shape of an imaged object, as portrayed by projected perimeters, the full three-dimensional scattering density may not be of particular interest. In this situation considerable simplifications to the reconstruction problem are possible, allowing calculations based upon geometric principles."

  "Here we describe and provide an algorithm which reconstructs the three-dimensional morphology of specimens from tilt series of images for application to electron tomography. Our algorithm uses a differential approach to infer the intersection of projected tangent lines with surfaces which define boundaries between regions of different scattering densities within and around the perimeters of specimens. Details of the algorithm implementation are given and explained using reconstruction calculations from simulations, which are built into the code," wrote T.C. Petersen and colleagues, University of Sydney ...read more


Computational Physics - New computational physics research from M.D. Mazzeo and co-researchers described

  2010 MAR 23 - (VerticalNews.com) -- According to a study from London, the United Kingdom, "We present a new algorithm, called linked neighbour list (LNL), useful to substantially speed up off-lattice Monte Carlo simulations of fluids by avoiding the computation of the molecular energy before every attempted move. We introduce a few variants of the LNL method targeted to minimise memory footprint or augment memory coherence and cache utilisation. ...read more


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