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(xi) The ML provides unique source of information on the electronic structure of dislocations in alkali halide crystals.
It is of worth to mention that, unlike in semiconductors in which the electronic structure of the dislocations has been studied by different methods [113-115], there has been practically least investigation of the dislocation structure in AHCs.
Zheng, Strong elasticoluminescence from monoclinic-structure SrAl2O4, Appl.
Nan, Studies on mechanoluminescence from SrAl2O4:Eu, Dy phosphor, Materials Chemistry and Physics 80 (2003) 20–22
Hirsch, The structure and electrical properties of dislocations in semiconductors, Journal of Microscopy 118 (1980) 3–12

Others employed pre-trained molecule and protein models in an interpretable nested graph neural network [28], or a meta path-aggregated heterogeneous graph neural network to capture complex structures and rich semantics in biological heterogeneous graphs [29].
Journal of Computational Chemistry, 32(7) (2011) 1466-1474