Hostname: page-component-586b7cd67f-dlnhk Total loading time: 0 Render date: 2024-11-23T16:12:19.404Z Has data issue: false hasContentIssue false

Emerging Opportunities in STEM to Characterize Soft-Hard Interfaces

Published online by Cambridge University Press:  30 July 2021

Stephanie Ribet
Affiliation:
Evanston, Illinois, United States
Akshay Murthy
Affiliation:
Department of Materials Science, Northwestern University, United States
Eric Roth
Affiliation:
NUANCE Center, Northwestern University, United States
Xiaobing Hu
Affiliation:
Department of Materials Science and Engineering, Northwestern University, United States
Roberto dos Reis
Affiliation:
Department of Materials Science and Engineering, Northwestern University, United States
Vinayak Dravid
Affiliation:
Department of Materials Science and Engineering, Northwestern University, United States

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Advanced Imaging and Spectroscopy for Nanoscale Materials Characterization
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America

References

Wang, Da-Wei, et al. ACS nano 3.7 (2009): 1745-1752.Google Scholar
Lin, Qing-Yuan, et al. Science 359.6376 (2018): 669-672.Google Scholar
Gong, Shu, et al. Advanced Materials 32.15 (2020): 1902278.CrossRefGoogle Scholar
Ribet, Stephanie M., Murthy, Akshay A., et al. , Materials Today (2021), https://doi.org/10.1016/j.mattod.2021.05.006Google Scholar
Ophus, Colin, et al. Nature communications 7.1 (2016): 1-7.Google Scholar
Tomita, Masato, et al. Ultramicroscopy 218 (2020): 113089.CrossRefGoogle Scholar
Hujsak, Karl A., et al. Micron 108 (2018): 31-40.CrossRefGoogle Scholar
Dahmen, Tim, et al. Scientific reports 6.1 (2016): 1-11.CrossRefGoogle Scholar
This material is based upon work supported by the National Science Foundation under Grant No. DMR-1929356. This work made use of the Electron Probe Instrumentation Center (EPIC) and BioCryo facilities of Northwestern University's NUANCE Center, which has received support from the Soft and Hybrid Nanotechnology Experimental (SHyNE) Resource (NSF ECCS-2025633), the IIN, and Northwestern's MRSEC program (NSF DMR-1720139). This work was supported by Air Force Research Laboratory grant FA8650-15-2-5518, and partially supported by Air Force Office of Scientific Research award number FA9550-17-1-0348 and Army Research Office MURI grant W911NF1810200. Research reported in this publication was supported in part by instrumentation provided by the Office of The Director, National Institutes of Health of the National Institutes of Health under Award Number S10OD026871. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. This research was supported in part through the computational resources and staff contributions provided for the Quest high performance computing facility at Northwestern University which is jointly supported by the Office of the Provost, the Office for Research, and Northwestern University Information Technology.Google Scholar