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A Semi-quantitative Predictive Model for SnO2 Adatom Diffusion & Its Application to Exit Wave Reconstruction

Published online by Cambridge University Press:  05 August 2019

Arthur N. Moya*
Affiliation:
Department of Materials, University of Oxford, Parks Roads, Oxford OX1 3PH, United Kingdom.
Ofentse A. Makgae
Affiliation:
Department of Materials, University of Oxford, Parks Roads, Oxford OX1 3PH, United Kingdom.
Emanuela Liberti
Affiliation:
Department of Materials, University of Oxford, Parks Roads, Oxford OX1 3PH, United Kingdom. electron Physical Science Imaging Centre (ePSIC), Diamond Light Source Ltd., Didcot, OX11 0DE, United Kingdom.
Angus I. Kirkland
Affiliation:
Department of Materials, University of Oxford, Parks Roads, Oxford OX1 3PH, United Kingdom. electron Physical Science Imaging Centre (ePSIC), Diamond Light Source Ltd., Didcot, OX11 0DE, United Kingdom.
*
*Corresponding author: Arthur.moya@materials.ox.ac.uk

Abstract

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Type
Advances in Phase Retrieval Microscopy
Copyright
Copyright © Microscopy Society of America 2019 

References

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[7]Arthur Moya is a Commonwealth Scholar, funded by the UK government.Google Scholar