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Machine learning enables the discovery of 2D Invar and anti-Invar monolayers
Materials demonstrating positive thermal expansion (PTE) or negative thermal expansion (NTE) are quite common, whereas those exhibiting zero thermal expansion (ZTE) are notably... -
Machine learning of superconducting critical temperature from Eliashberg theory
The Eliashberg theory of superconductivity accounts for the fundamental physics of conventional electron-phonon superconductors, including the retardation of the interaction and...
