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Antunes, L. M., Vikram, V., Plata, J. J., Powell, A. V., Butler, K. T. and Grau-Crespo, R. 
ORCID: https://orcid.org/0000-0001-8845-1719
(2022)
Machine learning approaches for accelerating the discovery of thermoelectric materials.
In: An, Y. (ed.)
Machine Learning in Materials Informatics: Methods and Applications.
American Chemical Society, Washington, DC, pp. 1-32.
ISBN 9780841297630
doi: 10.1021/bk-2022-1416.ch001
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| Item Type | Book or Report Section |
| URI | https://reading-clone.eprints-hosting.org/id/eprint/106582 |
| Identification Number/DOI | 10.1021/bk-2022-1416.ch001 |
| Refereed | Yes |
| Divisions | Life Sciences > School of Chemistry, Food and Pharmacy > Department of Chemistry |
| Uncontrolled Keywords | thermoelectric, machine learning, computational chemistry |
| Publisher | American Chemical Society |
| Download/View statistics | View download statistics for this item |
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