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This communication intends promoting the materials science informatics, an idea that has been growing in popularity and recognition among materials scientists. It constitutes an option to integrate the nano-sciences with the market demands on data analytics skills and applications. Techniques as machine learning, data mining, and complex networks have allowed representing the thermodynamic evolution of existing alloys and compounds, from whom, new compounds have been predicted and created. In what follows, the main ideas of the nano-informatics are formulated and how the above-mentioned integration can be accomplished. Besides that, its application to superconductors and materials of interest for the photovoltaic industry is discussed.