Closing the gap between theory and experiment for lithium manganese oxide spinels using a high-dimensional neural network potential. Eckhoff, M., Schönewald, F., Risch, M., Volkert, C. A., Blöchl, P. E., & Behler, J. Physical Review B, 102:174102, American Physical Society (APS), 2020. ![Closing the gap between theory and experiment for lithium manganese oxide spinels using a high-dimensional neural network potential [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi bibtex @article{10.1103/physrevb.102.174102,
doi = {10.1103/physrevb.102.174102},
url = {http://dx.doi.org/10.1103/physrevb.102.174102},
year = 2020,
publisher = {American Physical Society ({APS})},
volume = {102},
author = {Marco Eckhoff and Florian Schönewald and Marcel Risch and Cynthia A. Volkert and Peter E. Blöchl and Jörg Behler},
title = {Closing the gap between theory and experiment for lithium manganese oxide spinels using a high-dimensional neural network potential},
journal = {Physical Review B},
pages = {174102}
}
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