Automated Author Profile

Midgley, Paul A.

Current S-Index

4.5

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.1

Average Dataset Index per dataset

Total Datasets

4

Total datasets for this author

Average FAIR Score

52.9%

Average FAIR Score per dataset

Total Citations

2

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

9144317nkhzzqpxnqgc.zip from On three-dimensional misorientation spaces

Determining the local orientation of crystals in engineering and geological materials has become routine with the advent of modern crystallographic mapping techniques. These techniques enable many thousands of orientation measurements to be made, directing attention towards how such data are best analysed and plotted. Here, we provide a guide to the visualization of misorientation data in three-dimensional (3D) vector spaces, reduced by crystal symmetry, to reveal crystallographic orientation relationships. By choosing an appropriate vector space, domains for all point group symmetries become accessible and fundamental zones are presented for combinations of all Laue classes. An analysis methodology is then developed and applied to identify crystallographic relationships in examples from materials science and geology. These examples highlight key advantages of analysing misorientations as 3D vectors. In particular, identification of misorientation clusters highlights the presence of previously unknown orientation relationships and helps determining active deformation mechanisms. Evaluation of cluster spread and centre allows for a more accurate description of transformation processes and quantification of clusters can be used for arguments of a sample's provenance.

Authors

  • Krakow, Robert ;
  • Bennett, Robbie J. ;
  • Johnstone, Duncan N. ;
  • Vukmanovic, Zoja ;
  • Wilberth Solano-Alvarez ;
  • Lainé, Steven J. ;
  • Einsle, Joshua F. ;
  • Midgley, Paul A. ;
  • Rae, Catherine M. F. ;
  • Hielscher, Ralf
0 Citations0 Mentions85% FAIR0.9 Dataset Index
10.6084/m9.figshare.5472589January 2017

9144317nkhzzqpxnqgc.zip from On three-dimensional misorientation spaces

Determining the local orientation of crystals in engineering and geological materials has become routine with the advent of modern crystallographic mapping techniques. These techniques enable many thousands of orientation measurements to be made, directing attention towards how such data are best analysed and plotted. Here, we provide a guide to the visualization of misorientation data in three-dimensional (3D) vector spaces, reduced by crystal symmetry, to reveal crystallographic orientation relationships. By choosing an appropriate vector space, domains for all point group symmetries become accessible and fundamental zones are presented for combinations of all Laue classes. An analysis methodology is then developed and applied to identify crystallographic relationships in examples from materials science and geology. These examples highlight key advantages of analysing misorientations as 3D vectors. In particular, identification of misorientation clusters highlights the presence of previously unknown orientation relationships and helps determining active deformation mechanisms. Evaluation of cluster spread and centre allows for a more accurate description of transformation processes and quantification of clusters can be used for arguments of a sample's provenance.

Authors

  • Krakow, Robert ;
  • Bennett, Robbie J. ;
  • Johnstone, Duncan N. ;
  • Vukmanovic, Zoja ;
  • Wilberth Solano-Alvarez ;
  • Lainé, Steven J. ;
  • Einsle, Joshua F. ;
  • Midgley, Paul A. ;
  • Rae, Catherine M. F. ;
  • Hielscher, Ralf
0 Citations0 Mentions13% FAIR0.1 Dataset Index
10.6084/m9.figshare.5472589.v1January 2017

Research Data Supporting "A New Method for Determining the Composition of Core-Shell Nanoparticles via Dual-EDX+EELS Spectrum Imaging"

No description available

Authors

  • Rossouw, David ;
  • Knappett, Benjamin R. ;
  • Wheatley, Andrew E. H. ;
  • Midgley, Paul A.
2 Citations0 Mentions100% FAIR3.1 Dataset Index
10.17863/cam.415June 2016

Research data supporting "Large-scale ordering of nanoparticles using viscoelastic shear processing"

No description available

Authors

  • Zhao, Qibin ;
  • Finlayson, Chris E. ;
  • Snoswell, David ;
  • Haines, Andrew ;
  • Shafer, Christian ;
  • Spahn, Peter ;
  • Hellmann, Goetz P. ;
  • Petukhov, Andrei V. ;
  • Herrmann, Lars ;
  • Burdet, Pierre ;
  • Midgley, Paul A. ;
  • Butler, Simon ;
  • Mackley, Malcolm ;
  • Guo, Qixin ;
  • Baumberg, Jeremy J.
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.17863/cam.69076May 2016