most citedPrediction of stable Li-Sn compounds: boosting ab initio searches with neural network potentials

22 citations · 22 across the 1 of their papers we have counts for

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cond-mat.mtrl-sci2022★ 22 cited

Prediction of stable Li-Sn compounds: boosting ab initio searches with neural network potentials

Saba Kharabadze, Aidan Thorn, Ekaterina A. Koulakova +1

The Li-Sn binary system has been the focus of extensive research because it features Li-rich alloys with potential applications as battery anodes. Our present re-examination of the…