A Comprehensive Numerical Model of Thrombus Embolization: Fluid-Thrombus Interactions Through a Coupled Computational Fluid Dynamics - Peridynamics Framework. [PDF]
Karmakar A +3 more
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Physics-informed neural networks with caputo-fabrizio derivatives for nonlinear fractal-fractional delay equations and chaotic systems. [PDF]
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Two-Temperature and Thermal Plasma Kinetic Theories. [PDF]
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Statistical Mechanics of Density- and Temperature-Dependent Potentials: Application to Condensed Phases within GenDPDE. [PDF]
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Data-driven linear solver selection and performance tuning for multiphysics simulations in porous media. [PDF]
Zabegaev Y, Berre I, Keilegavlen E.
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Approximate analysis of a network of fluid queues
ACM SIGMETRICS Performance Evaluation Review, 2007Fluid models have for some time been used to approximate stochastic networks with discrete state. These range from traditional 'heavy traffic' approximations to the recent advances in bio-chemical system models. Here we use an approximate compositional method to analyse a simple feedforward network of fluid queues which comprises both probabilistic ...
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Fluid Approximation of CTMC with Deterministic Delays
2012 Ninth International Conference on Quantitative Evaluation of Systems, 2012We compare population models in terms of Continuous Time Markov Chains with embedded deterministic delays (delayed CTMC), in which an exponential timed transition can only update the state of the system after a deterministicdelay, and delay differential equations (DDE).
BORTOLUSSI, LUCA, J. Hillston
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ENO Approximations for Compressible Fluid Dynamics
ZAMM, 1999Summary: We describe in detail some technique to construct high order ENO type schemes on general meshes. We discuss means of improving the efficiency using Harten's multiresolution analysis and a parallel version of the algorithm. We also provide several numerical examples and comparisons with more conventional schemes.
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The anyon fluid in the Bogoliubov approximation
Physical Review D, 1992We study the free anyon fluid by extending the usual Bogoliubov approximation to the case of nonlocal "statistical" interactions. We thereby compute the ground-state energy, the spectrum of low-lying excitations, the static structure factor, and the pair distribution function.
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