Beyond transmission electron microscopy imaging: Atom probe tomography reveals chemical inhomogeneity at stacking fault interfaces in InGaN/GaN light-emitting diodes
Ruiying Shu , Rachel A. Oliver , Martin Frentrup , Menno J. Kappers , Huixin Xiu , Gunnar Kusch , David J. Wallis , Christina Hofer , Paul A.J. Bagot , Michael P. Moody
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引用次数: 0
Abstract
In this study, we present an atom probe tomography investigation of zincblende InGaN-based multi-quantum well light-emitting diode (LED) structures with a specific focus on the influence of stacking faults within the system. We demonstrate that the visualisation of stacking faults in atom probe reconstructions is possible due to previously documented sensitivities of measured composition in III-V materials to local variations in electric field during the experiment. Meanwhile, we quantify the composition of indium (In) in the InGaN quantum wells and establish that elongated regions exist, parallel to ridges on the sample surface, in which the indium content is increased. We discuss this observation in the context of previous scanning transmission electron microscopy (STEM) data which suggested that such In rich regions are associated with stacking faults. Our experiments not only showcase the feasibility of stacking fault characterization in InGaN-based multi-quantum well LEDs through atom probe tomography (APT) but also offer a practical pathway towards three-dimensional imaging and compositional analysis of stacking faults at the atomic scale.
期刊介绍:
Materialia is a multidisciplinary journal of materials science and engineering that publishes original peer-reviewed research articles. Articles in Materialia advance the understanding of the relationship between processing, structure, property, and function of materials.
Materialia publishes full-length research articles, review articles, and letters (short communications). In addition to receiving direct submissions, Materialia also accepts transfers from Acta Materialia, Inc. partner journals. Materialia offers authors the choice to publish on an open access model (with author fee), or on a subscription model (with no author fee).