Abstract
The development of future generation catalysts and fuel cells based on oxide nanostructures is dependent upon our ability to control the size, shape, and surface chemistry of individual particles. It is currently not possible to characterize the surface of substantial numbers of oxide nanocrystals within large scale samples using exclusively experimental methods. In this paper, we outline a combined methodology for partnering advanced imaging techniques, to provide local experimental structural information, with multiscale computer modeling, to identify the terminal (surface) atomic layer, and apply this technique to the case of CeO2 nanoparticles.
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