A database of experimentally measured lithium solid electrolyte conductivities evaluated with machine learning
- DOI
- 10.1038/s41524-022-00951-z
- Published
- 2023-01-16
- Container
- npj Computational Materials
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41524-022-00951-z,
title = {A database of experimentally measured lithium solid electrolyte conductivities evaluated with machine learning},
author = {Cameron J. Hargreaves and Michael W. Gaultois and Luke M. Daniels and Emma J. Watts and Vitaliy A. Kurlin and Michael Moran and Yun Dang and Rhun Morris and Alexandra Morscher and Kate Thompson and Matthew A. Wright and Beluvalli-Eshwarappa Prasad and Frédéric Blanc and Chris M. Collins and Catriona A. Crawford and Benjamin B. Duff and Jae Evans and Jacinthe Gamon and Guopeng Han and Bernhard T. Leube and Hongjun Niu and Arnaud J. Perez and Aris Robinson and Oliver Rogan and Paul M. Sharp and Elvis Shoko and Manel Sonni and William J. Thomas and Andrij Vasylenko and Lu Wang and Matthew J. Rosseinsky and Matthew S. Dyer},
year = {2023},
journal = {npj Computational Materials},
doi = {10.1038/s41524-022-00951-z},
url = {https://doi.org/10.1038/s41524-022-00951-z}
}RIS
TY - JOUR TI - A database of experimentally measured lithium solid electrolyte conductivities evaluated with machine learning AU - Cameron J. Hargreaves AU - Michael W. Gaultois AU - Luke M. Daniels AU - Emma J. Watts AU - Vitaliy A. Kurlin AU - Michael Moran AU - Yun Dang AU - Rhun Morris AU - Alexandra Morscher AU - Kate Thompson AU - Matthew A. Wright AU - Beluvalli-Eshwarappa Prasad AU - Frédéric Blanc AU - Chris M. Collins AU - Catriona A. Crawford AU - Benjamin B. Duff AU - Jae Evans AU - Jacinthe Gamon AU - Guopeng Han AU - Bernhard T. Leube AU - Hongjun Niu AU - Arnaud J. Perez AU - Aris Robinson AU - Oliver Rogan AU - Paul M. Sharp AU - Elvis Shoko AU - Manel Sonni AU - William J. Thomas AU - Andrij Vasylenko AU - Lu Wang AU - Matthew J. Rosseinsky AU - Matthew S. Dyer PY - 2023 JO - npj Computational Materials DO - 10.1038/s41524-022-00951-z UR - https://doi.org/10.1038/s41524-022-00951-z ER -
APA
Hargreaves, C. J., Gaultois, M. W., Daniels, L. M., Watts, E. J., Kurlin, V. A., Moran, M., Dang, Y., Morris, R., Morscher, A., Thompson, K., Wright, M. A., Prasad, B., Blanc, F., Collins, C. M., Crawford, C. A., Duff, B. B., Evans, J., Gamon, J., Han, G., Leube, B. T., Niu, H., Perez, A. J., Robinson, A., Rogan, O., Sharp, P. M., Shoko, E., Sonni, M., Thomas, W. J., Vasylenko, A., Wang, L., Rosseinsky, M. J., & Dyer, M. S. (2023). A database of experimentally measured lithium solid electrolyte conductivities evaluated with machine learning. npj Computational Materials. https://doi.org/10.1038/s41524-022-00951-z
Source records
- crossref · retrieved 2026-11-10T16:08:35.772Z