Skip to main content Accessibility help
×
Home

USID and Pycroscopy – Open Source Frameworks for Storing and Analyzing Imaging and Spectroscopy Data

  • Suhas Somnath (a1) (a2), Chris R. Smith (a2) (a3), Nouamane Laanait (a4), Rama K. Vasudevan (a2) (a3) and Stephen Jesse (a2) (a3)...
    • Send article to Kindle

      To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      USID and Pycroscopy – Open Source Frameworks for Storing and Analyzing Imaging and Spectroscopy Data
      Available formats
      ×

      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

      USID and Pycroscopy – Open Source Frameworks for Storing and Analyzing Imaging and Spectroscopy Data
      Available formats
      ×

      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

      USID and Pycroscopy – Open Source Frameworks for Storing and Analyzing Imaging and Spectroscopy Data
      Available formats
      ×

Abstract

  • An abstract is not available for this content so a preview has been provided below. To view the full text please use the links above to select your preferred format.

Copyright

References

Hide All
[1]Kalinin, SV et al. , ACS Nano (2016), p. 9068.
[2]Klimentov, A et al. , presented at the Journal of Physics: Conference Series (2015) (unpublished).
[3]Kalinin, SV et al. , Nat Mater 14 (2015), p. 973.
[4]This research was conducted at the Center for Nanophase Materials Sciences, which is a DOE Office of Science User Facility. This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE AC05 00R22725. Notice of Copyright This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

USID and Pycroscopy – Open Source Frameworks for Storing and Analyzing Imaging and Spectroscopy Data

  • Suhas Somnath (a1) (a2), Chris R. Smith (a2) (a3), Nouamane Laanait (a4), Rama K. Vasudevan (a2) (a3) and Stephen Jesse (a2) (a3)...

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed.