In this paper, modelling system structure is understood to be the algorithms and equations used to describe and calculate processes.
What the analogue model then shares with its target is not a set of features, but the same pattern of abstract relationships (i.e. the same structure, where structure is understood in the formal sense).
For proteins, secondary structure is understood to be a strong evolutionary driver, particularly through the binary-patterning (arrangement of hydrophilic/hydrophobic residues), and so is the (somewhat related) packing density.
Component surface optimisation through the application of surface structuring is understood to be beneficial to performance and longevity of a component in service.
While grain size and shape in metal AM structures are understood to be highly dependent on both local and global temperature profiles, the exact form of this relation is not well understood.
On the other hand, Roberts (2011) criticizes the idea that structure can be understood as group structure in the context of quantum physics.
Hence, the solitary structure can be understood as bunch of ions in the plasma.
The relation of the transmission with the structure can be understood through the space resolved LDOS at Fermi level.
The transformation from 2D graphene sheet into the curly tubular 1D structure could be understood with the aid of the illustrations in Figure 1.
In order to increase the efficiency of silicon solar cells, the relation between material defects, such as dislocations, impurities and precipitates, and the grain structure must be understood.
