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31 to 40 of 117 Results
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
20.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 143.5 KB - MD5: 9458e0070f0aa914f861548879744723
20.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 143.6 KB - MD5: cb6b9da277c142b58277525c378e9223
20.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 143.5 KB - MD5: 885fc33a66a7f5b6a1dbcb94afdf4042
20.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 143.6 KB - MD5: a3c89d7a1e4b81f4439a9307a056dd04
20.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 143.5 KB - MD5: 181ef636a890e444047a0cc03b80f3dd
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