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41 to 50 of 122 Results
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
4.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 3.7 KB - MD5: 3240780961cbf6b99cdcff8ca007a9cb
4.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 3.7 KB - MD5: 6c88afd8ff22ebac661139d00877a251
4.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 3.7 KB - MD5: a2f5ce73db21d12329a73267b54041c8
4.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 3.7 KB - MD5: 8fbc4b3b16f055ee60b1b4db6e98ad84
4.mtp
Oct 29, 2024 - Data for: Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials
Unknown - 3.7 KB - MD5: cb8bc4c1654c82e8014a09f2fc7eef44
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