Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-23T13:41:29.769Z Has data issue: false hasContentIssue false
  • English
  • Français

4D-STEM Determination of Atomic Structure of Amorphous Materials for Renewable Energy Applications

Published online by Cambridge University Press:  30 July 2021

Mehrdad Abbasi Gharacheh ,
Jun Meng ,
Yutao Dong ,
Dane Morgan ,
Xudong Wang  and
Jinwoo Hwang
Mehrdad Abbasi Gharacheh
Affiliation:
The Ohio State University, Columbus, Ohio, United States
Jun Meng
Affiliation:
University of Wisconsin-Madison, Madison, Wisconsin, United States
Yutao Dong
Affiliation:
University of Wisconsin-Madison, Madison, Wisconsin, United States
Dane Morgan
Affiliation:
University of Wisconsin Madison, United States
Xudong Wang
Affiliation:
University of Wisconsin-Madison, Madison, Wisconsin, United States
Jinwoo Hwang
Affiliation:
Materials Science and Engineering, The Ohio State University, United States

Abstract

An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Microscopy & Spectroscopy of Energy Conversion and Storage Materials
Information
Microscopy and Microanalysis , Volume 27 , Supplement S1 , August 2021 , pp. 396 - 398
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America

References

Lewis, N. S., “Research opportunities to advance solar energy utilization,” Science (80-.)., vol. 351, no. 6271, 2016.CrossRefGoogle ScholarPubMed
Zhao, Y. et al. , “Oxidatively Stable Nanoporous Silicon Photocathodes with Enhanced Onset Voltage for Photoelectrochemical Proton Reduction,” Nano Lett., vol. 15, no. 4, pp. 2517–2525, 2015.CrossRefGoogle ScholarPubMed
Yu, Y. et al. , “Enhanced photoelectrochemical efficiency and stability using a conformal TiO2 film on a black silicon photoanode,” Nat. Energy, vol. 2, no. 6, 2017.Google Scholar
Maldonis, J. J. et al. , “StructOpt: A modular materials structure optimization suite incorporating experimental data and simulated energies,” Comput. Mater. Sci., vol. 160, no. October 2018, pp. 1–8, 2019.CrossRefGoogle Scholar
Voyles, P. M. and Muller, D. A., “Fluctuation microscopy in the STEM,” Ultramicroscopy, vol. 93, no. 2, pp. 147–159, 2002.CrossRefGoogle ScholarPubMed
Wochner, P. et al. , “X-ray cross correlation analysis uncovers hidden local symmetries in disordered matter,” Proc. Natl. Acad. Sci. U. S. A., vol. 106, no. 28, pp. 11511–11514, 2009.CrossRefGoogle ScholarPubMed
Cheng, Y. T., Shan, T. R., Liang, T., Behera, R. K., Phillpot, S. R., and Sinnott, S. B., “A charge optimized many-body (comb) potential for titanium and titania,” J. Phys. Condens. Matter, vol. 26, no. 31, 2014.Google ScholarPubMed
Kirkland, E. J., Advanced computing in electron microscopy. Springer, 1998.CrossRefGoogle Scholar
Brown, H., Pelz, P., Ophus, C., and Ciston, J., “A Python Based Open-source Multislice Simulation Package for Transmission Electron Microscopy,” Microsc. Microanal., pp. 1–3, 2020.Google Scholar