Application of DFT-based machine learning for developing molecular electrode materials in Li-ion batteries
Keyword(s):
In this study, we utilize a density functional theory-machine learning framework to develop a high-throughput screening method for designing new molecular electrode materials.
2020 ◽
Vol 60
(4)
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pp. 1996-2003
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2016 ◽
Vol 4
(28)
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pp. 10906-10913
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2018 ◽
Vol 146
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pp. 119-125
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Keyword(s):
2020 ◽
Vol 22
(16)
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pp. 8902-8912
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