My Research

My research interests are in the areas of superconductivity, magnetism, defects and thermoelectric materials. Structure prediction is my driven-force to design better materials. I use theoretical tools (mostly at density-functional theory level) implemented in computational codes that efficiently calculate electronic band structure on complex structures. I am also interested in development algorithms to be exploited in high-throughput computational screening for new materials. Machine-learning started to make his way on my research and I have currently one main project in this direction.

This figure illustrate the map of the different materials I specialize on, as well as the techniques or keywords for specific function.

Magnetic Materials

Magnetism has captivated humans since remote times. Magnet’s ability to attract ferrometals fascinated ancient Greeks, Chinese and Amer-Indians. The history of magnetism is rich and intrinsically attached to the main course of major discoveries in Science. [1] Lodestone (ferrite, Fe3O4) was described around 600 BC by Greek philosophers. The first reference to a Compass was …

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Unconventional superconductors

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Structure prediction database

  Under construction

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Theory

Under construction

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Highthroughput Computing

Under construction  

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