Deconvoluting thermomechanical effects in X-ray diffraction data using machine learning

Lim, R.E.; Shang, S.-L.; Chuang, C.; Phan, T.Q.; Liu, Z.-K.; Pagan, D.C.

doi:10.1107/S2053273325000403

Acta Crystallographica Section A
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Figure 3
Representative diffraction images from (a) the experimental sample before laser melting, (b) the experimental sample after laser melting, (c) a thermomechanical simulation used for GPR surrogate model training. Maximum intensity thresholds have been selected for each image to make the diffraction peaks and their extent visible.

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ISSN: 2053-2733

Volume 81| Part 2| March 2025| Pages 137-150

https://doi.org/10.1107/S2053273325000403

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