The Experts below are selected from a list of 90 Experts worldwide ranked by ideXlab platform

Roland G. Winkler - One of the best experts on this subject based on the ideXlab platform.

  • cell level canonical sampling by velocity scaling for multiparticle collision dynamics simulations
    Journal of Computational Physics, 2010
    Co-Authors: Chien-cheng Huang, Godehard Sutmann, Gerhard Gompper, Apratim Chatterji, Roland G. Winkler
    Abstract:

    A local Maxwellian thermostat for the multiparticle collision dynamics algorithm is proposed. The algorithm is based on a scaling of the relative velocities of the fluid particles within a collision cell. The scaling factor is determined from the distribution of the kinetic energy within such a cell. Thereby the algorithm ensures that the distribution of the relative velocities is given by the Maxwell-Boltzmann distribution. The algorithm is particularly useful for non-equilibrium Systems, where temperature has to be controlled locally. We perform various non-equilibrium simulations for fluids in shear and pressure-driven flow, which confirm the validity of the proposed simulation scheme. In addition, we determine the dynamic structure factors for fluids with and without thermostat, which exhibit significant differences due to suppression of the diffusive part of the energy transport of the Isothermal System.

Chien-cheng Huang - One of the best experts on this subject based on the ideXlab platform.

  • cell level canonical sampling by velocity scaling for multiparticle collision dynamics simulations
    Journal of Computational Physics, 2010
    Co-Authors: Chien-cheng Huang, Godehard Sutmann, Gerhard Gompper, Apratim Chatterji, Roland G. Winkler
    Abstract:

    A local Maxwellian thermostat for the multiparticle collision dynamics algorithm is proposed. The algorithm is based on a scaling of the relative velocities of the fluid particles within a collision cell. The scaling factor is determined from the distribution of the kinetic energy within such a cell. Thereby the algorithm ensures that the distribution of the relative velocities is given by the Maxwell-Boltzmann distribution. The algorithm is particularly useful for non-equilibrium Systems, where temperature has to be controlled locally. We perform various non-equilibrium simulations for fluids in shear and pressure-driven flow, which confirm the validity of the proposed simulation scheme. In addition, we determine the dynamic structure factors for fluids with and without thermostat, which exhibit significant differences due to suppression of the diffusive part of the energy transport of the Isothermal System.

Bjorn Lindman - One of the best experts on this subject based on the ideXlab platform.

  • a record nine different phases four cubic two hexagonal and one lamellar lyotropic liquid crystalline and two micellar solutions in a ternary Isothermal System of an amphiphilic block copolymer and selective solvents water and oil
    Langmuir, 1998
    Co-Authors: Paschalis Alexandridis, Ulf Olsson, Bjorn Lindman
    Abstract:

    We report on a ternary Isothermal System consisting of a poly(ethylene oxide)/poly(propylene oxide) (PEO/PPO) amphiphilic block copolymer, “water”, and “oil” (where “water” and “oil” are selective solvents for the different blocks), which exhibits the richest structural polymorphism ever observed (in equilibrium) in mixtures containing amphiphiles (such as block copolymers, surfactants, or lipids). The microstructure resulting from the self-assembly of the PEO/PPO block copolymer can vary from normal (oil-in-water) micelles in solution, through all types of normal and reverse (water-in-oil) lyotropic liquid crystals (normal micellar cubic, normal hexagonal, normal bicontinuous cubic, lamellar, reverse bicontinuous cubic, reverse hexagonal, reverse micellar cubic), to reverse micelles, as the relative volume fraction of the apolar (“oil”-like) components increases over that of the polar (“water”-like) components. The structure in the liquid crystalline phases has been established with small-angle X-ray sca...

Godehard Sutmann - One of the best experts on this subject based on the ideXlab platform.

  • cell level canonical sampling by velocity scaling for multiparticle collision dynamics simulations
    Journal of Computational Physics, 2010
    Co-Authors: Chien-cheng Huang, Godehard Sutmann, Gerhard Gompper, Apratim Chatterji, Roland G. Winkler
    Abstract:

    A local Maxwellian thermostat for the multiparticle collision dynamics algorithm is proposed. The algorithm is based on a scaling of the relative velocities of the fluid particles within a collision cell. The scaling factor is determined from the distribution of the kinetic energy within such a cell. Thereby the algorithm ensures that the distribution of the relative velocities is given by the Maxwell-Boltzmann distribution. The algorithm is particularly useful for non-equilibrium Systems, where temperature has to be controlled locally. We perform various non-equilibrium simulations for fluids in shear and pressure-driven flow, which confirm the validity of the proposed simulation scheme. In addition, we determine the dynamic structure factors for fluids with and without thermostat, which exhibit significant differences due to suppression of the diffusive part of the energy transport of the Isothermal System.

Apratim Chatterji - One of the best experts on this subject based on the ideXlab platform.

  • cell level canonical sampling by velocity scaling for multiparticle collision dynamics simulations
    Journal of Computational Physics, 2010
    Co-Authors: Chien-cheng Huang, Godehard Sutmann, Gerhard Gompper, Apratim Chatterji, Roland G. Winkler
    Abstract:

    A local Maxwellian thermostat for the multiparticle collision dynamics algorithm is proposed. The algorithm is based on a scaling of the relative velocities of the fluid particles within a collision cell. The scaling factor is determined from the distribution of the kinetic energy within such a cell. Thereby the algorithm ensures that the distribution of the relative velocities is given by the Maxwell-Boltzmann distribution. The algorithm is particularly useful for non-equilibrium Systems, where temperature has to be controlled locally. We perform various non-equilibrium simulations for fluids in shear and pressure-driven flow, which confirm the validity of the proposed simulation scheme. In addition, we determine the dynamic structure factors for fluids with and without thermostat, which exhibit significant differences due to suppression of the diffusive part of the energy transport of the Isothermal System.