![]() One century later, the advent of two-dimensional (2D) materials 6, 7, 8, 9 made such analysis particularly appealing, helped by a daily growing abundance of shape imagery (it is easier to characterize a 2D rather than a three-dimensional (3D) shape, not to mention improved microscopy). If the exterior energy density, such as the angle-dependent surface energy ε( a), is given for all direction angles a, this should be sufficient to define the crystal shape, as epitomized by the famed Wulff construction 2, 3, 4, 5-a geometrical recipe derived from surface energy, in which the answer emerges as an envelope of planes or lines that are distanced by ε( a) from some point and drawn for all directions a. For us to predict a crystal shape, such an approach is impossible, and so theories usually reduce the search to the exterior (surface or edge) energy minimization only 1, 2, whereas the interior-bulk (volume or area) remains invariant. Crystals-oblivious to this fundamental principle-achieve their shapes by billions of constituent atoms relentlessly performing a trial and error experiment until they reach the equilibrium shape. Physical systems in equilibrium arrive at a state of minimal energy. We instantly associate the very word crystal with a shape (and perhaps color, or the lack of it), which has often been perfected through slow geological formation or craftsmanship. We demonstrate it for challenging materials such as SnSe, which is of C 2v symmetry, and even AgNO 2 of C 1, which has no symmetry at all. Here we show how one can proceed with auxiliary edge energies towards a constructive prediction, through well-planned computations, of a unique crystal shape. If the crystal surface/edge energy is known for different directions, its shape can be obtained by the geometric Wulff construction, a tenet of crystal physics however, if symmetry is lacking, the crystal edge energy cannot be defined or calculated and thus its shape becomes elusive, presenting an insurmountable problem for theory. It is also a visible macro-manifestation of the underlying atomic-scale forces and chemical makeup, most conspicuous in two-dimensional (2D) materials of keen current interest. If your volume is concave you'll have multiple discrete intersection shapes, and so you need to repeat this process until all edges have been examined.The equilibrium shape of crystals is a fundamental property of both aesthetic appeal and practical importance: the shape and its facets control the catalytic, light-emitting, sensing, magnetic and plasmonic behaviors. ![]() Note that this process assumes that the face polygons are convex, which in your case they are. ![]() You've built an ordered list of edges that intersect the plane - it's trivial to linearly interpolate each edge to find the intersection points, in order, that form the intersection shape. Repeat for the other face that shares that edge until you arrive back at the starting edge.Iterate through the other edges of that face to find the next intersection, add it to the list.Pick one of the faces that share this edge.Iterate through the edge list until you find one that intersects the test plane, add it to a list.Walk the edge-face connectivity graph of your 3D model to find the edge-plane intersection points in order.Īssuming you have, or can construct, the 3d model topography (some number of vertices, edges between vertices, faces bound by edges): In converting your 3D model to a set of points, you have thrown away the information required to find the intersection shapes.
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