2015
DOI: 10.1016/j.ultramic.2015.05.006
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Mining information from atom probe data

Abstract: Whilst atom probe tomography (APT) is a powerful technique with the capacity to gather information containing hundreds of millions of atoms from a single specimen, the ability to effectively use this information creates significant challenges. The main technological bottleneck lies in handling the extremely large amounts of data on spatial-chemical correlations, as well as developing new quantitative computational foundations for image reconstruction that target critical and transformative problems in material… Show more

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Cited by 62 publications
(42 citation statements)
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References 132 publications
(193 reference statements)
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“…These maraging steels have several competing types of precipitates that determine their mechanical properties, the smallest of which are difficult to characterise using any other technique than APT. [15][16][17] Although APT is an incredibly powerful tool to analyse the complex microstructures that modern alloys rely on for their advanced physical properties, the interpretation of the data produced is not always straightforward, and attention has begun to turn towards addressing this in the literature 18,19 . Datasets can consist of tens or even hundreds of millions of atoms, and choosing the correct parameters for analysing interfacial chemical profiles is vital to ensure small changes in chemistry between phases are accurately characterised.…”
Section: Introductionmentioning
confidence: 99%
“…These maraging steels have several competing types of precipitates that determine their mechanical properties, the smallest of which are difficult to characterise using any other technique than APT. [15][16][17] Although APT is an incredibly powerful tool to analyse the complex microstructures that modern alloys rely on for their advanced physical properties, the interpretation of the data produced is not always straightforward, and attention has begun to turn towards addressing this in the literature 18,19 . Datasets can consist of tens or even hundreds of millions of atoms, and choosing the correct parameters for analysing interfacial chemical profiles is vital to ensure small changes in chemistry between phases are accurately characterised.…”
Section: Introductionmentioning
confidence: 99%
“…Reproduced from Ref. [22] with permission from The Royal Society of Chemistry structure and to more precisely identify features (for example, precipitates and interfaces) from the 3D data [23][24][25][26][27][28][29][30]. Because data is in the format of discrete points in some metric space, i.e., a point cloud, many data mining algorithms, which have been developed, are applicable to extract the geometric information embedded in the data [31][32][33][34].…”
Section: Characteristics Of Geometric-based Data Analysis Methodsmentioning
confidence: 99%
“…Recent advances of method and data evaluation are explained in detail in references [64,65,66,67,68,69]. In the LEAP™ instrument a standing voltage is applied between the specimen and the counter electrode, which is, as in the case of any atom probe, superimposed by high voltage or laser pulses.…”
Section: Atom Probe Tomographymentioning
confidence: 99%