Abstract:Various packing problems and simulations of hard and soft interacting particles, such as microscopic models of nematic liquid crystals, reduce to calculations of intersections and pair interactions between ellipsoids. When constrained to a spherical surface, curvature and compactness lead to non-trivial behaviour that finds uses in physics, computer science and geometry. A well-known idealized isotropic example is the Tammes problem of finding optimal non-intersecting packings of equal hard disks. The anisotro… Show more
“…The details of this description are given in ref. 50. As α → π/2, the semi-major axis of this ellipsoid approaches R , resulting in a sharper and sharper vertex of the spherical ellipse (see Fig.…”
Section: Model and Methodsmentioning
confidence: 95%
“…29,34,52,56 The procedure requires a measure of overlap to be defined as the system energy; however, conventional overlap parameters used for measuring distances between ellipsoids in Euclidean geometries 57–59 do not work for purely 2D ellipses on a sphere. We therefore use a recently developed algorithm by Gnidovec et al 50 to determine the overlap function λ between two spherical ellipses. This algorithm is based on calculating the eigenvalues of a linear interpolation between quadratic forms that define spherical ellipses, and returns λ < 1 if two ellipses overlap.…”
Section: Model and Methodsmentioning
confidence: 99%
“…The ellipses are defined as having a constant sum of geodesic distances to two foci, which also corresponds to having elliptical orthogonal projections onto a plane. 50 We first introduce the model and explain the packing simulation procedure used to generate jammed configurations of spherical ellipses. We then present packing results, demonstrating that the packing fraction depends non-monotonously on the ellipse aspect ratio and can change with system size.…”
In systems of 2D geodesic spherical ellipses, the curvature of the underlying spherical surface introduces frustration in local and global order, resulting in disordered monodispersed packings.
“…The details of this description are given in ref. 50. As α → π/2, the semi-major axis of this ellipsoid approaches R , resulting in a sharper and sharper vertex of the spherical ellipse (see Fig.…”
Section: Model and Methodsmentioning
confidence: 95%
“…29,34,52,56 The procedure requires a measure of overlap to be defined as the system energy; however, conventional overlap parameters used for measuring distances between ellipsoids in Euclidean geometries 57–59 do not work for purely 2D ellipses on a sphere. We therefore use a recently developed algorithm by Gnidovec et al 50 to determine the overlap function λ between two spherical ellipses. This algorithm is based on calculating the eigenvalues of a linear interpolation between quadratic forms that define spherical ellipses, and returns λ < 1 if two ellipses overlap.…”
Section: Model and Methodsmentioning
confidence: 99%
“…The ellipses are defined as having a constant sum of geodesic distances to two foci, which also corresponds to having elliptical orthogonal projections onto a plane. 50 We first introduce the model and explain the packing simulation procedure used to generate jammed configurations of spherical ellipses. We then present packing results, demonstrating that the packing fraction depends non-monotonously on the ellipse aspect ratio and can change with system size.…”
In systems of 2D geodesic spherical ellipses, the curvature of the underlying spherical surface introduces frustration in local and global order, resulting in disordered monodispersed packings.
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