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Towards model-driven reconstruction in atom probe tomography
Author(s) -
C. M. Fletcher,
Michael P. Moody,
Daniel Haley
Publication year - 2020
Publication title -
journal of physics d applied physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.857
H-Index - 198
eISSN - 1361-6463
pISSN - 0022-3727
DOI - 10.1088/1361-6463/abaaa6
Subject(s) - algorithm , artificial intelligence , atom probe , computer science , distortion (music) , data set , crystallography , chemistry , microstructure , amplifier , bandwidth (computing) , computer network
Reconstructions of heterogeneous material systems in Atom Probe Tomography (APT) suffer from imaging distortions due to the underlying assumptions made about specimen geometry by current reconstruction methods [1]. These distortions can seriously limit the reliability of measurements derived from reconstructions, particularly in the vicinity of microstructural interfaces [2]. While previous attempts have been made to provide a solution for correcting such distortions, these efforts have fallen short of delivering a physically motivated and general algorithm that can be deployed on experimental data.

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