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21 to 30 of 123 Results
12.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 12.9 KB - MD5: 70facc548679742ec5259b11a99f0775
12.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 12.9 KB - MD5: 4ac2a3e6a978e47c9f8d5e1946274195
12.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 12.9 KB - MD5: 264bf4a7c856dd6ce021ca392e7dfe6e
12.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 12.9 KB - MD5: 18835f4178183a3ba3a27213efa902bd
12.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 12.9 KB - MD5: b26c79bd407f96d27b22dbb6d5a6a50f
14.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 21.1 KB - MD5: f224a3be69e953776e389c69b6083127
14.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 21.0 KB - MD5: e4e6163da49d09cc74bea5cde812c3b6
14.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 21.1 KB - MD5: 8d48e16f0ed5ff30797a166af97c2e6d
14.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 21.1 KB - MD5: 9bf98cc38c4e509b36031c465f2589fc
14.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 21.1 KB - MD5: 35feca7215ec6131845f95fe56bbee36
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