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21 to 30 of 117 Results
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
16.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 33.9 KB - MD5: 5697c2e98b4a8e56026ea558cef81bb8
16.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 33.9 KB - MD5: 5dc42f1c3c862ad7090e8cba721b5363
16.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 33.9 KB - MD5: 9aeb12fc6fd29964b3eb04235fe9079c
16.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 33.9 KB - MD5: 5ac8da22195d9aa4dfe2b66cf85f4e6e
16.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 33.8 KB - MD5: f2ca268f4b45960a67dd5ee65d4e1b1d
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