Yukawa Potential

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Sameer M Ikhdair - One of the best experts on this subject based on the ideXlab platform.

Srikanth Sastry - One of the best experts on this subject based on the ideXlab platform.

  • inverse design of charged colloidal particle interactions for self assembly into specified crystal structures
    Journal of Chemical Physics, 2019
    Co-Authors: Rajneesh Kumar, Gabriele M Coli, Marjolein Dijkstra, Srikanth Sastry
    Abstract:

    : We study the inverse problem of tuning interaction parameters between charged colloidal particles interacting with a hard-core repulsive Yukawa Potential, so that they assemble into specified crystal structures. Here, we target the body-centered-cubic (bcc) structure which is only stable in a small region in the phase diagram of charged colloids and is, therefore, challenging to find. In order to achieve this goal, we use the statistical fluctuations in the bond orientational order parameters to tune the interaction parameters for the bcc structure, while initializing the system in the fluid phase, using the Statistical Physics-inspired Inverse Design algorithm. We also find that this optimization algorithm correctly senses the fluid-solid phase boundaries for charged colloids. Finally, we repeat the procedure employing the covariance matrix adaptation-evolution strategy, a cutting edge optimization technique, and compare the relative efficacy of the two methods.

  • inverse design of charged colloidal particle interactions for self assembly into specified crystal structures
    arXiv: Soft Condensed Matter, 2019
    Co-Authors: Rajneesh Kumar, Gabriele M Coli, Marjolein Dijkstra, Srikanth Sastry
    Abstract:

    We study the inverse problem of tuning interaction parameters between charged colloidal particles interacting with a hard-core repulsive Yukawa Potential, so that they assemble into specified crystal structures. Here, we target the body-centered-cubic (bcc) structure which is only stable in a small region in the phase diagram of charged colloids and is, therefore, challenging to find. In order to achieve this goal, we use the statistical fluctuations in the bond orientational order parameters to tune the interaction parameters for the bcc structure, while initializing the system in the fluid phase, using the Statistical Physics-inspired Inverse Design (SP-ID) algorithm [1]. We also find that this optimization algorithm correctly senses the fluid-solid phase boundaries for charged colloids. Finally, we repeat the procedure employing the Covariance Matrix Adaptation - Evolution Strategy (CMA-ES), a cutting edge optimization technique, and compare the relative efficacy of the two methods.

M Hamzavi - One of the best experts on this subject based on the ideXlab platform.

Rajneesh Kumar - One of the best experts on this subject based on the ideXlab platform.

  • inverse design of charged colloidal particle interactions for self assembly into specified crystal structures
    Journal of Chemical Physics, 2019
    Co-Authors: Rajneesh Kumar, Gabriele M Coli, Marjolein Dijkstra, Srikanth Sastry
    Abstract:

    : We study the inverse problem of tuning interaction parameters between charged colloidal particles interacting with a hard-core repulsive Yukawa Potential, so that they assemble into specified crystal structures. Here, we target the body-centered-cubic (bcc) structure which is only stable in a small region in the phase diagram of charged colloids and is, therefore, challenging to find. In order to achieve this goal, we use the statistical fluctuations in the bond orientational order parameters to tune the interaction parameters for the bcc structure, while initializing the system in the fluid phase, using the Statistical Physics-inspired Inverse Design algorithm. We also find that this optimization algorithm correctly senses the fluid-solid phase boundaries for charged colloids. Finally, we repeat the procedure employing the covariance matrix adaptation-evolution strategy, a cutting edge optimization technique, and compare the relative efficacy of the two methods.

  • inverse design of charged colloidal particle interactions for self assembly into specified crystal structures
    arXiv: Soft Condensed Matter, 2019
    Co-Authors: Rajneesh Kumar, Gabriele M Coli, Marjolein Dijkstra, Srikanth Sastry
    Abstract:

    We study the inverse problem of tuning interaction parameters between charged colloidal particles interacting with a hard-core repulsive Yukawa Potential, so that they assemble into specified crystal structures. Here, we target the body-centered-cubic (bcc) structure which is only stable in a small region in the phase diagram of charged colloids and is, therefore, challenging to find. In order to achieve this goal, we use the statistical fluctuations in the bond orientational order parameters to tune the interaction parameters for the bcc structure, while initializing the system in the fluid phase, using the Statistical Physics-inspired Inverse Design (SP-ID) algorithm [1]. We also find that this optimization algorithm correctly senses the fluid-solid phase boundaries for charged colloids. Finally, we repeat the procedure employing the Covariance Matrix Adaptation - Evolution Strategy (CMA-ES), a cutting edge optimization technique, and compare the relative efficacy of the two methods.

Sergey K. Zhdanov - One of the best experts on this subject based on the ideXlab platform.

  • Scattering in the Attractive Yukawa Potential in the Limit of Strong Interaction
    Physical Review Letters, 2003
    Co-Authors: Sergey A. Khrapak, Alexei V. Ivlev, Gregor Eugen Morfill, Sergey K. Zhdanov
    Abstract:

    Scattering in the attractive screened Coulomb (Yukawa) Potential in\nthe limit of strong interaction is investigated. It is shown that\nthe scattering occurs mostly with large angles. The corresponding\nmomentum-transfer cross section is calculated. The results are applied\nto estimate the ion drag force acting on an isolated micron-sized\ngrain in low-pressure bulk plasmas.