4.6 Article

Scanning electron diffraction tomography of strain

期刊

INVERSE PROBLEMS
卷 37, 期 1, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.1088/1361-6420/abc961

关键词

transverse ray transform; computed tomography; tensor tomography; scanning precession electron diffraction; 4D-STEM; strain mapping; strain tomography

资金

  1. EPSRC [EP/L016516/1, EP/M00483X/1, EP/N014588/1, EP/P02226X/1, EP/M022498/1, EP/K00428X/1, EP/R008779/1]
  2. Leverhulme Trust project 'Breaking the non-convexity barrier'
  3. CHiPS (Horizon 2020 RISE project grant)
  4. Leverhulme Trust [ECF-2016-611]
  5. Henslow Research Fellowship at Girton College, Cambridge
  6. University Academic Fellowship at the University of Leeds
  7. Royal Society Wolfson Research Merit Award
  8. EPSRC [EP/N014588/1, EP/K00428X/1, EP/P02226X/1, EP/M00483X/1, EP/R008779/1, EP/M022498/1] Funding Source: UKRI

向作者/读者索取更多资源

Strain engineering is essential for obtaining desired materials properties in modern technologies, but direct measurement of the three-dimensional strain tensor field within materials has been limited by suitable experimental techniques and data analysis tools. Scanning electron diffraction is a powerful tool for obtaining two-dimensional maps of strain components perpendicular to the incident electron beam direction. Reconstruction of the full non-symmetric strain tensor field as the solution to an ill-posed tensor tomography inverse problem shows promise for strain tomography with SPED data.
Strain engineering is used to obtain desirable materials properties in a range of modern technologies. Direct nanoscale measurement of the three-dimensional strain tensor field within these materials has however been limited by a lack of suitable experimental techniques and data analysis tools. Scanning electron diffraction has emerged as a powerful tool for obtaining two-dimensional maps of strain components perpendicular to the incident electron beam direction. Extension of this method to recover the full three-dimensional strain tensor field has been restricted though by the absence of a formal framework for tensor tomography using such data. Here, we show that it is possible to reconstruct the full non-symmetric strain tensor field as the solution to an ill-posed tensor tomography inverse problem. We then demonstrate the properties of this tomography problem both analytically and computationally, highlighting why incorporating precession to perform scanning precession electron diffraction (SPED) may be important. We establish a general framework for non-symmetric tensor tomography and demonstrate computationally its applicability for achieving strain tomography with SPED data.

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