Reference Type | Journal (article/letter/editorial) |
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Title | Computational study of Na diffusion and conduction in P2- and O3-Na2x[NixTi1-x]O2 materials with machine-learning interatomic potentials |
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Journal | Solid State Ionics |
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Authors | He, Yining | Author |
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Chen, Qian | Author |
Lai, Wei | Author |
Year | 2023 (October) | Volume | 399 |
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Publisher | Elsevier BV |
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DOI | doi:10.1016/j.ssi.2023.116298Search in ResearchGate |
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| Generate Citation Formats |
Mindat Ref. ID | 16862017 | Long-form Identifier | mindat:1:5:16862017:5 |
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GUID | 0 |
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Full Reference | He, Yining, Chen, Qian, Lai, Wei (2023) Computational study of Na diffusion and conduction in P2- and O3-Na2x[NixTi1-x]O2 materials with machine-learning interatomic potentials. Solid State Ionics, 399. 116298 doi:10.1016/j.ssi.2023.116298 |
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Plain Text | He, Yining, Chen, Qian, Lai, Wei (2023) Computational study of Na diffusion and conduction in P2- and O3-Na2x[NixTi1-x]O2 materials with machine-learning interatomic potentials. Solid State Ionics, 399. 116298 doi:10.1016/j.ssi.2023.116298 |
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In | (2023) Solid State Ionics Vol. 399. Elsevier BV |
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