A database of experimentally measured lithium solid electrolyte conductivities evaluated with machine learning

Cameron J Hargreaves, Michael W Gaultois, Luke M Daniels, Emma J Watts, Vitaliy A Kurlin, Michael Moran, Yun Dang, Rhun Morris, Alexandra Morscher, Kate Thompson, Matthew A Wright, Beluvalli-Eshwarappa Prasad, Frédéric Blanc, Chris M Collins, Catriona A Crawford, Benjamin B Duff, Jae Evans, Jacinthe Gamon, Guopeng Han, Bernhard T Leube, Hongjun Niu, Arnaud J Perez, Aris Robinson, Oliver Rogan, Paul M Sharp, Elvis Shoko, Manel Sonni, William J Thomas, Andrij Vasylenko, Lu Wang, Matthew J Rosseinsky, Matthew S Dyer

Open source

DOI: 10.1038/s41524-022-00951-z
Published: 2023-12
Container: npj Computational Materials
Publisher: Not recorded
Open access: yes

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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

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hal · retrieved 2026-09-26T05:11:40.396Z