Literature DB >> 17433547

Exploring the next neighbourhood relationship in amorphous alloys utilizing atom probe tomography.

Ahmed Shariq1, Talaat Al-Kassab, Reiner Kirchheim, Ricardo B Schwarz.   

Abstract

A new algorithm is developed to explore the next neighbourhood atomic vicinity from the analysed data obtained using the tomographic atom probe (TAP) technique. The presented algorithm allows to calculate the atomic distances among different next neighbours of different elements as applied to bulk amorphous alloys. The results obtained for Pd55 Cu23 P22 bulk amorphous alloys show reasonable consistency to already available data from different diffraction techniques. The Pd-Pd atoms have highest probability to be a next neighbour than others. The established view that P is not a direct next neighbour to each other is also manifested from these results. Normalizing the distances of the next neighbours to the first neighbour distance in this particular amorphous system possesses a definite order for all elemental correlations. Furthermore, the algorithm was processed for different critical reconstruction parameters to explore the corresponding effect on the distance distribution of next neighbouring atoms. The minor changes in the product of the geometric factor and the evaporation field of the sample does not make any egregious difference on the next neighbourhood evaluation (NNE).

Entities:  

Year:  2007        PMID: 17433547     DOI: 10.1016/j.ultramic.2007.02.030

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


  3 in total

1.  Point-by-point compositional analysis for atom probe tomography.

Authors:  Leigh T Stephenson; Anna V Ceguerra; Tong Li; Tanaporn Rojhirunsakool; Soumya Nag; Rajarshi Banerjee; Julie M Cairney; Simon P Ringer
Journal:  MethodsX       Date:  2014-03-05

2.  Icosahedra clustering and short range order in Ni-Nb-Zr amorphous membranes.

Authors:  S Sarker; D Isheim; G King; Q An; D Chandra; S I Morozov; K Page; J N Wermer; D N Seidman; M Dolan
Journal:  Sci Rep       Date:  2018-04-17       Impact factor: 4.379

3.  Correlation of Heterogeneous Local Martensite Tetragonality and Carbon Distribution in High Carbon Steel.

Authors:  Thomas Kohne; Alexander Dahlström; Aimo Winkelmann; Peter Hedström; Annika Borgenstam
Journal:  Materials (Basel)       Date:  2022-09-25       Impact factor: 3.748

  3 in total

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