Negative Gaussian Curvature

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The Experts below are selected from a list of 1917 Experts worldwide ranked by ideXlab platform

Rukmini Dey - One of the best experts on this subject based on the ideXlab platform.

Carl D Modes - One of the best experts on this subject based on the ideXlab platform.

  • Negative Gaussian Curvature from induced metric changes.
    Physical Review E, 2015
    Co-Authors: Carl D Modes, Mark Warner
    Abstract:

    We revisit the light or heat-induced changes in topography of initially flat sheets of a solid that elongate or contract along patterned in-plane director fields. For radial or azimuthal directors, Negative Gaussian Curvature is generated-so-called "anticones." We show that azimuthal material displacements are required for the distorted state to be stretch free and bend minimizing. The resultant shapes are smooth and asterlike and can become reentrant in the azimuthal coordinate for large deformations. We show that care is needed when considering elastomers rather than glasses, although the former offer huge deformations.

  • hard disks on the hyperbolic plane
    Physical Review Letters, 2007
    Co-Authors: Carl D Modes, Randall D. Kamien
    Abstract:

    We examine a simple hard disk fluid with no long range interactions on the two-dimensional space of constant Negative Gaussian Curvature, the hyperbolic plane. This geometry provides a natural mechanism by which global crystalline order is frustrated, allowing us to construct a tractable model of disordered monodisperse hard disks. We extend free-area theory and the virial expansion to this regime, deriving the equation of state for the system, and compare its predictions with simulation near an isostatic packing in the curved space.

Randall D. Kamien - One of the best experts on this subject based on the ideXlab platform.

  • hard disks on the hyperbolic plane
    Physical Review Letters, 2007
    Co-Authors: Carl D Modes, Randall D. Kamien
    Abstract:

    We examine a simple hard disk fluid with no long range interactions on the two-dimensional space of constant Negative Gaussian Curvature, the hyperbolic plane. This geometry provides a natural mechanism by which global crystalline order is frustrated, allowing us to construct a tractable model of disordered monodisperse hard disks. We extend free-area theory and the virial expansion to this regime, deriving the equation of state for the system, and compare its predictions with simulation near an isostatic packing in the curved space.

  • Geometric theory of columnar phases on curved substrates
    Physical Review Letters, 2007
    Co-Authors: Christian Santangelo, Randall D. Kamien, Vincenzo Vitelli, David R. Nelson
    Abstract:

    We study thin self-assembled columns constrained to lie on a curved, rigid substrate. The Curvature presents no local obstruction to equally spaced columns in contrast with curved crystals for which the crystalline bonds are frustrated. Instead, the vanishing compressional strain of the columns implies that their normals lie on geodesics which converge (diverge) in regions of positive (Negative) Gaussian Curvature, in analogy to the focusing of light rays by a lens. We show that the out of plane bending of the cylinders acts as an effective ordering field.

Sergo Kukudzhanov - One of the best experts on this subject based on the ideXlab platform.

Shingtung Yau - One of the best experts on this subject based on the ideXlab platform.

  • adiabatic isometric mapping algorithm for embedding 2 surfaces in euclidean 3 space
    Classical and Quantum Gravity, 2015
    Co-Authors: Shannon Ray, Warner A Miller, Paul M Alsing, Shingtung Yau
    Abstract:

    Alexandrov proved that any simplicial complex homeomorphic to a sphere with strictly non-Negative Gaussian Curvature at each vertex can be isometrically embedded uniquely in as a convex polyhedron. Due to the nonconstructive nature of his proof, there have yet to be any algorithms, that we know of, that realizes the Alexandrov embedding in polynomial time. Following his proof, we developed the adiabatic isometric mapping (AIM) algorithm. AIM uses a guided adiabatic pull-back procedure on a given polyhedral metric to produce an embedding that approximates the unique Alexandrov polyhedron. Tests of AIM applied to two different polyhedral metrics suggests that its run time is sub cubic with respect to the number of vertices. Although Alexandrov's theorem specifically addresses the embedding of convex polyhedral metrics, we tested AIM on a broader class of polyhedral metrics that included regions of Negative Gaussian Curvature. One test was on a surface just outside the ergosphere of a Kerr black hole.