HIGHLIGHTS
- who: Ye Wei and colleagues from the College, London, England, United Kingdom have published the Article: 3D nanostructural characterisation of grain boundaries in atom probe data utilising machine learning methods, in the Journal: PLOS ONE | https://doi.org/10.1371/journal.pone [0225041]. November 18, 2019 of /1371/
- what: The authors explore how machine_learning methods can facilitate grain boundary identification and extraction, so as to provide user-independent, automatic and reliable structural characterization, while allowing direct compositional analysis. The authors propose a method based on exploiting the variations in the hit density. Given that the . . .
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