The structure of liquids, glasses and other non-crystalline solids is characterized by the absence of long-range order which defines crystalline materials. Liquids and amorphous solids do, however, possess a rich and varied array of short to medium range order, which originates from chemical bonding and related interactions. Metallic glasses, for example, are typically well described by the dense random packing of hard spheres, whereas covalent systems, such as silicate glasses, have sparsely packed, strongly bound, tetrahedral network structures. These very different structures result in materials with very different physical properties and applications. The study of liquid and glass structure aims to gain insight into their behavior and physical properties, so that they can be understood, predicted and tailored for specific applications. Since the structure and resulting behavior of liquids and glasses is a complex many body problem, historically it has been too computationally intensive to solve using quantum mechanics directly. Instead, a variety of diffraction, NMR, molecular dynamics, and Monte Carlo simulation techniques are most commonly used. The pair distribution function (or pair correlation function) of a material describes the probability of finding an atom at a separation r from another atom. A typical plot of g versus r of a liquid or glass shows a number of key features: At short separations (small r), g(r) = 0. This indicates the effective width of the atoms, which limits their distance of approach. A number of obvious peaks and troughs are present. These peaks indicate that the atoms pack around each other in 'shells' of nearest neighbors. Typically the 1st peak in g(r) is the strongest feature. This is due to the relatively strong chemical bonding and repulsion effects felt between neighboring atoms in the 1st shell. The attenuation of the peaks at increasing radial distances from the center indicates the decreasing degree of order from the center particle.
Romain Christophe Rémy Fleury, Zhechen Zhang, Pierre Delplace