Literature DB >> 25747179

A new systematic framework for crystallographic analysis of atom probe data.

Vicente J Araullo-Peters1, Andrew Breen2, Anna V Ceguerra2, Baptiste Gault3, Simon P Ringer2, Julie M Cairney2.   

Abstract

In this article, after a brief introduction to the principles behind atom probe crystallography, we introduce methods for unambiguously determining the presence of crystal planes within atom probe datasets, as well as their characteristics: location; orientation and interplanar spacing. These methods, which we refer to as plane orientation extraction (POE) and local crystallography mapping (LCM) make use of real-space data and allow for systematic analyses. We present here application of POE and LCM to datasets of pure Al, industrial aluminium alloys and doped-silicon. Data was collected both in DC voltage mode and laser-assisted mode (in the latter of which extracting crystallographic information is known to be more difficult due to distortions). The nature of the atomic planes in both datasets was extracted and analysed.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Atom probe tomography; Crystallography

Year:  2015        PMID: 25747179     DOI: 10.1016/j.ultramic.2015.02.009

Source DB:  PubMed          Journal:  Ultramicroscopy        ISSN: 0304-3991            Impact factor:   2.689


  1 in total

1.  3D nanostructural characterisation of grain boundaries in atom probe data utilising machine learning methods.

Authors:  Ye Wei; Zirong Peng; Markus Kühbach; Andrew Breen; Marc Legros; Melvyn Larranaga; Frederic Mompiou; Baptiste Gault
Journal:  PLoS One       Date:  2019-11-18       Impact factor: 3.240

  1 in total

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