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

MLA

Cameron J. Hargreaves, et al. “A Database of Experimentally Measured Lithium Solid Electrolyte Conductivities Evaluated with Machine Learning.” Npj Computational Materials, vol. 9, no. 1, Jan. 2023, pp. 1–14. EBSCOhost, https://doi.org/10.1038/s41524-022-00951-z.

APA

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, … Matthew S. Dyer. (2023). A database of experimentally measured lithium solid electrolyte conductivities evaluated with machine learning. Npj Computational Materials, 9(1), 1–14. https://doi.org/10.1038/s41524-022-00951-z

Chicago

Cameron J. Hargreaves, Michael W. Gaultois, Luke M. Daniels, Emma J. Watts, Vitaliy A. Kurlin, Michael Moran, Yun Dang, et al. 2023. “A Database of Experimentally Measured Lithium Solid Electrolyte Conductivities Evaluated with Machine Learning.” Npj Computational Materials 9 (1): 1–14. doi:10.1038/s41524-022-00951-z.