Deconvoluting thermomechanical effects in X-ray diffraction data using machine learning
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X-ray diffraction is ideal for probing the sub-surface state during complex or rapid thermomechanical loading of crystalline materials. However, challenges arise as the size of diffraction volumes increases due to spatial broadening and because of the inabilit... ...
