Nature Communications 6:7801.1–7801.8īorisevich AY, Chang HJ, Huijben M, Oxley MP, Okamoto S, Niranjan MK, Burton J, Tsymbal E, Chu YH, Yu P, Ramesh R, Kalinin SV, Pennycook SJ (2010a) Suppression of octahedral tilts and associated changes in electronic properties at epitaxial oxide heterostructure interfaces. Computer Vision and Image Understanding 110(3):346–359īelianinov A, He Q, Kravchenko M, Jesse S, Borisevich AY, Kalinin SV (2015) Identification of phases, symmetries and defects through local crystallography. Chemical Reviews 104(10):4791–4844īay H, Ess A, Tuytelaars T, Van Gool L (2008) Speeded-up robust features (SURF). In this chapter, we introduce the relevant state-of-the-art approaches regarding the lattice pattern analysis.Īdler SB (2004) Factors governing oxygen reduction in solid oxide fuel cell cathodes. Quantification of these spatial features allows material scientists to map material performance as a function of the features. In fact, the field of crystallographic research at atomic length scales is meant to locate individual atoms, and identify symmetries, dislocations, and defects in atom’s locations. Lattice pattern analysis plays an important role in material property characterization. Naturally, lattice pattern analysis refers to the study of symmetric arrangement of atoms and their deviation from the symmetry. A lattice, a term in geometry, describes here for material science purpose the symmetric arrangement of atoms in crystals. 5 presents the location and dispersion analysis of nanomaterials, whereas this chapter is dedicated to the lattice pattern analysis. Beyond morphology, studies on the spatial positioning and arrangements of smaller scale elements within bulk materials are of great interest to material scientists, because analysis of such arrangements could yield insights concerning the functionalities of materials.
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