Skip to main content Accessibility help
×
Home

All Mixed Up: Using Machine Learning to Address Heterogeneity in (Natural) Materials

  • J. F. Einsle (a1) (a2), Ben Martineau (a2), Iris Buisman (a1), Zoja Vukmanovic (a1), Duncan Johnstone (a2), Alex Eggeman (a3), Paul A. Midgley (a2) and Richard J. Harrison (a1)...
    • 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.

      All Mixed Up: Using Machine Learning to Address Heterogeneity in (Natural) Materials
      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.

      All Mixed Up: Using Machine Learning to Address Heterogeneity in (Natural) Materials
      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.

      All Mixed Up: Using Machine Learning to Address Heterogeneity in (Natural) Materials
      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] Saghi, Z., et al, Nano Letters 11 2011) p. 4666.
[2] Eggeman, A. S., Krakow, R. Midgley, P. A. Nature Communications 6 2015) p. 1.
[3] J.F.E., P.A.M. and R.J.H. would like to acknowledge funding under ERC Advanced grant 320750-Nanopaleomagnetism. S.M.C. and P.A.M. would also like to acknowledge funding under ERC Advanced grant 291522-3DIMAGE. S.M.C. acknowledges the Henslow Research Fellowship and Girton College, Cambridge. A.S.E. and B.H.M. acknowledge financial support from the Royal Society.

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