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High-throughput screening of inorganic compounds for the discovery of novel dielectric and optical materials
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 P...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5315501/ https://www.ncbi.nlm.nih.gov/pubmed/28140408 http://dx.doi.org/10.1038/sdata.2016.134 |
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author | Petousis, Ioannis Mrdjenovich, David Ballouz, Eric Liu, Miao Winston, Donald Chen, Wei Graf, Tanja Schladt, Thomas D. Persson, Kristin A. Prinz, Fritz B. |
author_facet | Petousis, Ioannis Mrdjenovich, David Ballouz, Eric Liu, Miao Winston, Donald Chen, Wei Graf, Tanja Schladt, Thomas D. Persson, Kristin A. Prinz, Fritz B. |
author_sort | Petousis, Ioannis |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5315501 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53155012017-03-01 High-throughput screening of inorganic compounds for the discovery of novel dielectric and optical materials Petousis, Ioannis Mrdjenovich, David Ballouz, Eric Liu, Miao Winston, Donald Chen, Wei Graf, Tanja Schladt, Thomas D. Persson, Kristin A. Prinz, Fritz B. Sci Data Data Descriptor 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. Nature Publishing Group 2017-01-31 /pmc/articles/PMC5315501/ /pubmed/28140408 http://dx.doi.org/10.1038/sdata.2016.134 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse. |
spellingShingle | Data Descriptor Petousis, Ioannis Mrdjenovich, David Ballouz, Eric Liu, Miao Winston, Donald Chen, Wei Graf, Tanja Schladt, Thomas D. Persson, Kristin A. Prinz, Fritz B. High-throughput screening of inorganic compounds for the discovery of novel dielectric and optical materials |
title | High-throughput screening of inorganic compounds for the discovery of novel dielectric and optical materials |
title_full | High-throughput screening of inorganic compounds for the discovery of novel dielectric and optical materials |
title_fullStr | High-throughput screening of inorganic compounds for the discovery of novel dielectric and optical materials |
title_full_unstemmed | High-throughput screening of inorganic compounds for the discovery of novel dielectric and optical materials |
title_short | High-throughput screening of inorganic compounds for the discovery of novel dielectric and optical materials |
title_sort | high-throughput screening of inorganic compounds for the discovery of novel dielectric and optical materials |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5315501/ https://www.ncbi.nlm.nih.gov/pubmed/28140408 http://dx.doi.org/10.1038/sdata.2016.134 |
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