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Found 2 papers, 1 papers with code
Database, Features, and Machine Learning Model to Identify Thermally Driven Metal-Insulator Transition Compounds
Metal-insulator transition (MIT) compounds are materials that may exhibit insulating or metallic behavior, depending on the physical conditions, and are of immense fundamental interest owing to their potential applications in emerging microelectronics.
Materials Screening
Materials Science
Strongly Correlated Electrons
Disentangling lattice and electronic contributions to the metal-insulator transition from bulk vs. layer confined RNiO$_3$
This paper presents a combined theoretical and experimental analysis of the dependence of the metal-insulator transition of NdNiO$_3$ on crystal structure, specifically comparing properties of bulk materials to one and two layer samples of NdNiO$_3$ grown between multiple electronically inert NdAlO$_3$ counterlayers in a superlattice.
Strongly Correlated Electrons
