The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
High-throughput screening of inorganic compounds for the discovery of novel dielectric and optical materials
Open accessAbstract
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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Cites
Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
Jain, A., Ong, S. P., Hautier, G., Chen, W., Richards, W. D., Dacek, S., Cholia, S., Gunter, D., Skinner, D., Ceder, G., et al. (2013) · APL Materials · doi:10.1063/1.4812323 · Cited by 13,094
Self-citationPython Materials Genomics (pymatgen): A robust, open-source python library for materials analysis
Ong, S. P., Richards, W. D., Jain, A., Hautier, G., Kocher, M., Cholia, S., Gunter, D., Chevrier, V. L., Persson, K. A., & Ceder, G. (2013) · Computational Materials Science · doi:10.1016/j.commatsci.2012.10.028 · Cited by 4,534
Self-citationBelsky, A., Hellenbrandt, M., Karen, V. L., & Luksch, P. (2002) · Acta Crystallographica Section B Structural Science · doi:10.1107/s0108768102006948 · Cited by 1,379
Data Mined Ionic Substitutions for the Discovery of New Compounds
Hautier, G., Fischer, C., Ehrlacher, V., Jain, A., & Ceder, G. (2011) · Inorganic Chemistry · doi:10.1021/ic102031h · Cited by 394
Cited by
Dunn, A., Wang, Q., Ganose, A., Dopp, D., & Jain, A. (2020) · npj Computational Materials · doi:10.1038/s41524-020-00406-3 · Cited by 411
Monroe, M. M., Villanueva, L. G., & Briand, D. (2023) · Microsystems & Nanoengineering · doi:10.1038/s41378-023-00489-0 · Cited by 20
Metadata
- Authors
- Petousis, I., Mrdjenovich, D., Ballouz, E., Liu, M., Winston, D., Chen, W., Graf, T., Schladt, T. D., Persson, K. A., & Prinz, F. B.
- Venue
- Scientific Data
- Published
- 2017-01-31
- Volume
- 4
- Issue
- 1
- Pages
- 160134-160134
- ISSN
- 2052-4463 (ISSN-L)
- OpenAlex
- W2582500555
- Cited by
- 263
- References
- 4
- Type
- data paper
- Language
- en
- Open access
- gold
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- Petousis, I., Mrdjenovich, D., Ballouz, E., Liu, M., Winston, D., Chen, W., Graf, T., Schladt, T. D., Persson, K. A., & Prinz, F. B. (2017). High-throughput screening of inorganic compounds for the discovery of novel dielectric and optical materials. Scientific Data. https://doi.org/10.1038/sdata.2016.134
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