Computation and sensitivity analysis of the deformation gradient tensor reconstruction in dark-field X-ray microscopy

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Abstract
Spatially resolved strain measurements are crucial to understanding the properties of engineering materials. Although strain measurements utilizing techniques such as transmission electron microscopy and electron backscatter diffraction offer high spatial resolution, they are limited to surface or thin samples. X-ray diffraction methods, including Bragg coherent diffraction imaging and X-ray topography, enable strain measurements deep inside bulk materials but face challenges in simultaneously achieving both high spatial resolution and large fields of view. Dark-field X-ray microscopy (DFXM) offers a promising solution, with its ability to image bulk crystals at the nanoscale while offering a field of view approaching a few hundred micrometres. However, an inverse modelling framework to relate the angular shifts in DFXM explicitly to the strain and lattice rotation tensors is lacking. In this paper, we develop such an inverse modelling formalism. Using the oblique diffraction geometry for DFXM, enabling access to non-coplanar symmetry-equivalent reflections, we demonstrate that the reconstruction of the full deformation gradient tensor F (g) , and consequently the strain and lattice rotation matrices, is possible. In addition to the formalism, we develop a computational framework that both forward calculates the anticipated angular shifts and reconstructs the average F (g) for an individual pixel from DFXM experiments. Finally, utilizing the established formalism and computational framework, we present methods for sensitivity analysis to relate individual components of the rotation or strain tensor to specific angles of DFXM. The developed sensitivity analysis also enables explicit computation of the errors associated with the reconstruction of each component. The formalism, the computational framework and the sensitivity analysis established in this paper should assist both the interpretation of past DFXM experiments and the design of future DFXM experiments.
Funding Information
  • Basic Energy Sciences (DEAC02-76SF00515)
  • Army Research Laboratory (W911NF-24-2-0085)
  • Army Research Office

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