The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Computationally guided discovery of thermoelectric materials
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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
Belsky, A., Hellenbrandt, M., Karen, V. L., & Luksch, P. (2002) · Acta Crystallographica Section B Structural Science · doi:10.1107/s0108768102006948 · Cited by 1,379
Curtarolo, S., Setyawan, W., Wang, S., Xue, J., Yang, K., Taylor, R. H., Nelson, L. J., Hart, G. L. W., Sanvito, S., Buongiorno-Nardelli, M., et al. (2012) · Computational Materials Science · doi:10.1016/j.commatsci.2012.02.002 · Cited by 1,148
Morelli, D. T., Heremans, J. P., & Slack, G. A. (2002) · Physical Review B · doi:10.1103/physrevb.66.195304 · Cited by 628
Cited by
Artificial intelligence: A powerful paradigm for scientific research
Xu, Y., Liu, X., Cao, X., Huang, C., Liu, E., Qian, S., Liu, X., Wu, Y., Dong, F., Qiu, C.-W., et al. (2021) · The Innovation · doi:10.1016/j.xinn.2021.100179 · Cited by 1,726
From DFT to machine learning: recent approaches to materials science–a review
Schleder, G. R., Padilha, A. C. M., Acosta, C. M., Costa, M., & Fazzio, A. (2019) · Journal of Physics: Materials · doi:10.1088/2515-7639/ab084b · Cited by 852
sumo: Command-line tools for plotting and analysis of periodic ab initio calculations
M Ganose, A., J Jackson, A., & O Scanlon, D. (2018) · Journal of Open Source Software · doi:10.21105/joss.00717 · Cited by 533
The 2019 materials by design roadmap
Alberi, K., Nardelli, M. B., Zakutayev, A., Mitas, L., Curtarolo, S., Jain, A., Fornari, M., Marzari, N., Takeuchi, I., Green, M. L., et al. (2019) · Journal of Physics D: Applied Physics · doi:10.1088/1361-6463/aad926 · Cited by 322
Self-citationYang, J., De, S., Campbell, J. E., Li, S., Ceriotti, M., & Day, G. M. (2018) · Chemistry of Materials · doi:10.1021/acs.chemmater.8b01621 · Cited by 113
Metadata
- Authors
- Gorai, P., Stevanović, V., & Toberer, E. S.
- Venue
- Nature Reviews Materials
- Published
- 2017-08-22
- Volume
- 2
- Issue
- 9
- ISSN
- 2058-8437 (ISSN-L)
- OpenAlex
- W2750383843
- Cited by
- 277
- References
- 4
- FWCI
- 0.83
- Type
- journal article
- Language
- en
- Open access
- green
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- Gorai, P., Stevanović, V., & Toberer, E. S. (2017). Computationally guided discovery of thermoelectric materials. Nature Reviews Materials. https://doi.org/10.1038/natrevmats.2017.53
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
