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51 to 60 of 113 Results
6.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 6.9 KB - MD5: 00590ff0eec09bc2ad107e4245ac0bc6
6.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 6.9 KB - MD5: a8419c074b0acc7ee4a894735779eab5
8.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 7.3 KB - MD5: bcbd1fb28bb449cedae51b6551f01238
8.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 7.2 KB - MD5: 3df771f881648e14f7c926778680d4c7
8.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 7.3 KB - MD5: 1c935b8799191952ff73f418debbf3e3
8.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 7.3 KB - MD5: c2e3ee89b7afb5be27e30e07cd9ed6c3
8.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 7.2 KB - MD5: 9088b0f6a6db98bb108793dfd7d4d67b
active_learning.sh
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Shell Script - 4.0 KB - MD5: 2d7dcc8db713b385823146fb569c1d3f
orderedbulk.txt
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Plain Text - 2.3 MB - MD5: 1f131f726365e5f600e26e7f76cde292
sigma3_-111.txt
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Plain Text - 2.2 MB - MD5: 78589de14996a1421f854b09818285c7
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