A ResNet-18 model trained via transfer learning on simulated diffraction patterns extracts a disorder parameter as a quantitative structural short-range order descriptor for amorphous Cu-Zr systems and grain boundaries.
Ma, Tuning order in disorder, Nature Mater 14 (2015) 547–552
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Extraction of a structural short-range order descriptor from nanobeam electron diffraction patterns using a transfer learning approach
A ResNet-18 model trained via transfer learning on simulated diffraction patterns extracts a disorder parameter as a quantitative structural short-range order descriptor for amorphous Cu-Zr systems and grain boundaries.