7 research outputs found

    Finite-difference methods for simulation models incorporating non-conservative forces

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    We discuss algorithms applicable to the numerical solution of second-order ordinary differential equations by finite-differences. We make particular reference to the solution of the dissipative particle dynamics fluid model, and present extensive results comparing one of the algorithms discussed with the standard method of solution. These results show the successful modeling of phase separation and surface tension in a binary immiscible fluid mixture.Comment: 27 pages RevTeX, 9 figures, J. Chem. Phys. (in press

    Computer simulations of domain growth and phase separation in two-dimensional binary immiscible fluids using dissipative particle dynamics

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    We investigate the dynamical behavior of binary fluid systems in two dimensions using dissipative particle dynamics. We find that following a symmetric quench the domain size R(t) grows with time t according to two distinct algebraic laws R(t) = t^n: at early times n = 1/2, while for later times n = 2/3. Following an asymmetric quench we observe only n = 1/2, and if momentum conservation is violated we see n = 1/3 at early times. Bubble simulations confirm the existence of a finite surface tension and the validity of Laplace's law. Our results are compared with similar simulations which have been performed previously using molecular dynamics, lattice-gas and lattice-Boltzmann automata, and Langevin dynamics. We conclude that dissipative particle dynamics is a promising method for simulating fluid properties in such systems.Comment: RevTeX; 22 pages, 5 low-resolution figures. For full-resolution figures, connect to http://www.tcm.phy.cam.ac.uk/~ken21/tension/tension.htm

    Using Dissipative Particle Dynamics To Model Binary Immiscible Fluids

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    This paper looks at domain growth and phase separation in two-dimensional, binary, immiscible fluids using a new simulation technique called dissipative particle dynamics (DPD). We will find that the method can handle domain growth both qualitatively and quantitatively, yielding the correct scaling exponents and displaying a surface tension satisfying Laplace's law

    Hyperprogressive disease: recognizing a novel pattern to improve patient management

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