The development and
advancement of nanomaterials engineering have
become essential points in the goal of designing new materials with
applications of particular interest. Therefore, computer simulations
at the atomic level have the upper hand in being able to predict the
behavior, shapes, and properties of materials. In this sense, a new
theoretical methodology was developed to run a complete analysis of
the morphological transformation network of nanoparticles through
a roadmap, in addition to establishing a direct relationship between
computational models and real particles, beginning with the surface
characteristics. This procedure includes the assessment of the electronic
characteristics of nanoparticles as a function of the exposed surface
area contribution of each nanoparticle, and it also unravels essential
questions regarding the morphological contribution to the properties
of this system. For the application of this methodology, the transition-metal
molybdate CdMoO4 was chosen as the probe system. A computational
routine able to estimate the electronic properties of nanoparticles
according to the different nanoparticle morphologies was also performed.