Data Descriptor: High-throughput screening of inorganic compounds for the discovery of novel dielectric and optical materials

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Abstract

Dielectrics are an important class of materials that are ubiquitous in modern electronic applications. Even though their properties are important for the performance of devices, the number of compounds with known dielectric constant is on the order of a few hundred. Here, we use Density Functional Perturbation Theory as a way to screen for the dielectric constant and refractive index of materials in a fast and computationally efficient way. Our results constitute the largest dielectric tensors database to date, containing 1,056 compounds. Details regarding the computational methodology and technical validation are presented along with the format of our publicly available data. In addition, we integrate our dataset with the Materials Project allowing users easy access to material properties. Finally, we explain how our dataset and calculation methodology can be used in the search for novel dielectric compounds.

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Petousis, I., Mrdjenovich, D., Ballouz, E., Liu, M., Winston, D., Chen, W., … Prinz, F. B. (2017). Data Descriptor: High-throughput screening of inorganic compounds for the discovery of novel dielectric and optical materials. Scientific Data, 4. https://doi.org/10.1038/sdata.2016.134

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