Visualising emergent phenomena at oxide interfaces
Michael Oberaigner (Graz University of Technology), Manuel Ederer, (Technical University of Vienna), Sandeep Kumar Chaluvadi (Istituto Officia, dei Materiali-CNR), Pasquale Orgiani (Istituto Officia dei Materiali-CNR),, Regina Ciancio (Istituto Officia dei Materiali-CNR)

TL;DR
This paper introduces a novel microscopy approach combining atomic-scale EELS, phase contrast, DFT, and machine learning to directly visualize and understand emergent electronic phenomena at oxide interfaces, specifically the 2DEG at TiO2/LaAlO3.
Contribution
It develops a new methodology for directly imaging and analyzing emergent electronic states at oxide interfaces with high spatial resolution.
Findings
Different spatial distributions of 2DEG and Ti^{3+} defect states.
Oxygen vacancies influence 2DEG formation.
The methodology enables direct visualization of interfacial phenomena.
Abstract
Knowledge of atomic-level details of structure, chemistry, and electronic states is paramount for a comprehensive understanding of emergent properties at oxide interfaces. We utilise a novel methodology based on atomic-scale electron energy loss spectroscopy (EELS) to spatially map the electronic states tied to the formation of a two-dimensional electron gas (2DEG) at the prototypical non-polar/polar / interface. Combined with differential phase contrast analysis we directly visualise the microscopic locations of ions and charge and find that 2DEG states and defect states exhibit different spatial distributions. Supported by density functional theory (DFT) and inelastic scattering simulations we examine the role of oxygen vacancies in 2DEG formation. Our work presents a general pathway to directly image emergent phenomena at interfaces using this unique…
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Taxonomy
TopicsMachine Learning in Materials Science · Catalysis and Oxidation Reactions · Electronic and Structural Properties of Oxides
