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31 to 40 of 122 Results
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
18.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 69.6 KB - MD5: 69b1514ce9d2aee4ad9600f5e58916f4
18.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 69.5 KB - MD5: a0aa03fdae493b289a940759b8533340
18.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 69.6 KB - MD5: 5b3cc8198db948259f7641793191fe7d
18.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 69.6 KB - MD5: 71112361c3e88ec01120c5e2f3316900
18.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 69.6 KB - MD5: 1def8e16c58d77ba42bcd02292cc855e
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