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- W4386593103 abstract "X-ray diffraction/scattering computed tomography (XDS-CT) methods are a non-destructive class of chemical imaging techniques that have the capacity to provide reconstructions of sample cross-sections with spatially resolved chemical information. While X-ray diffraction CT (XRD-CT) is the most well-established method, recent advances in instrumentation and data reconstruction have seen greater use of related techniques like small angle X-ray scattering CT and pair distribution function CT. Additionally, the adoption of machine learning techniques for tomographic reconstruction and data analysis are fundamentally disrupting how XDS-CT data is processed. The following narrative review highlights recent developments and applications of XDS-CT with a focus on studies in the last five years. This article is part of the theme issue 'Exploring the length scales, timescales and chemistry of challenging materials (Part 2)'." @default.
- W4386593103 created "2023-09-12" @default.
- W4386593103 creator A5011809802 @default.
- W4386593103 creator A5011889764 @default.
- W4386593103 creator A5029435090 @default.
- W4386593103 creator A5035177225 @default.
- W4386593103 creator A5066027580 @default.
- W4386593103 date "2023-09-11" @default.
- W4386593103 modified "2023-09-29" @default.
- W4386593103 title "Recent developments in X-ray diffraction/scattering computed tomography for materials science" @default.
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