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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 ,
Ofentse A. Makgae ,
Emanuela Liberti  and
Angus I. Kirkland
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
Information
Microscopy and Microanalysis , Volume 25 , Supplement S2 , August 2019 , pp. 108 - 109
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