Strategy for reliable strain measurement in InAs/GaAs materials from high-resolution Z-contrast STEM images

Vatanparast, Maryam; Vullum, Per Erik; Nord, Magnus; Zuo, Jian; Reenaas, Turid Worren; Holmestad, Randi

doi:10.1088/1742-6596/902/1/012021

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…On the one hand, data cleaning or denoising is of vital importance to pursue reproducible and statistically meaningful quantitative analysis on STEM data. [1][2][3][4][5][6][7][8][9][10] Therefore, using ML, which was already shining in denoising in other scientific and technical fields was the natural decision. Here, the unsupervised approaches were the first approximations that succeeded in this direction.…”

Section: Electron Microscopy Advances With Machine Learningmentioning

confidence: 99%

Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook

2022

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Section: Electron Microscopy Advances With Machine Learningmentioning

confidence: 99%

Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook

2022

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Onset of phase separation in the double perovskite oxide La2MnNiO6

et al. 2018

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Identification of kinetic and thermodynamic factors that control crystal nucleation and growth represents a central challenge in materials synthesis. Here we report that apparently defect-free growth of La 2 MnNiO 6 (LMNO) thin films supported on SrTiO 3 (STO) proceeds up to 1-5 nm, after which it is disrupted by precipitation of NiO phases. Local geometric phase analysis and ensemble-averaged X-ray reciprocal space mapping show no change in the film strain away from the interface, indicating that mechanisms other than strain relaxation induce the formation of the NiO phases. Ab initio simulations suggest that oxygen vacancies become more likely with increasing thickness, due to the electrostatic potential build-up associated with the polarity mismatch at the film-substrate interface; this, in turn, promotes the formation of Nirich regions. These results suggest that the precipitate-free region could be extended further by increasing the oxygen chemical potential through the use of an elevated oxygen pressure or by incorporating electron redistributing dopants to suppress the built-in potential.1 arXiv:1710.08535v2 [cond-mat.mtrl-sci] 15 Apr 2018The formation of undesirable and uncontrolled phases during thin film nucleation and growth represent a fundamental obstacle to the atomically-precise synthesis of materials with targeted properties. As highlighted in recent reviews, 1,2 it is extremely difficult to observe and harness kinetic processes, hindering our efforts to control film growth. 3 The conditions associated with different techniques, such as pulsed laser deposition (PLD) and molecular beam epitaxy (MBE), lead to vastly different energy landscapes that govern the synthesis process. Furthermore, it is understood that film deposition is a dynamical process-namely, conditions at the growth front change during deposition resulting in complex synthesis outcomes. There is a pressing need to understand the factors that govern this dynamical behavior and how they can trigger the formation of inhomogeneities, from isolated defects to parasitic phases. [4][5][6] Coherently strained epitaxial thin films offer a highly controlled environment in which to identify the signatures and guiding mechanisms of phase separation events. The ability of perovskite oxides to phase separate has already been exploited to produce complex nanostructured materials; 7-11 however, predictive control of nanocomposites remains elusive, and more insight is needed into the details of elementary processes and species that mediate phase separation. For example, the polarity mismatch at polar / non-polar interfaces is thought to induce NiO phase separation in LaNiO 3 / LaAlO 3 superlattices grown on SrTiO 3 (STO). 12 Lazarov et al. have demonstrated that polar Fe 3 O 4 / MgO (001) interfaces can be stabilized through the formation of Fe nanocrystals, rather than through interface reconstruction, faceting, or intermixing. 13 These studies illustrate that oxide thin film systems form through complex synthesis routes dictated by chemical compos...

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Strategy for reliable strain measurement in InAs/GaAs materials from high-resolution Z-contrast STEM images

Cited by 2 publications

References 7 publications

Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook

Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook

Onset of phase separation in the double perovskite oxide La2MnNiO6

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