Qualification of the tomographic reconstruction in atom probe by advanced spatial distribution map techniques

Moody, Michael P.; Gault, Baptiste; Stephenson, Leigh T.; Haley, Daniel; Ringer, Simon P.

doi:10.1016/j.ultramic.2009.03.016

Cited by 138 publications

(96 citation statements)

References 26 publications

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“…[19] to enable investigation of the distribution of element-specific inter-atomic separations (e.g. partial pair correlation functions) along particular crystallographic directions.…”

Section: /11mentioning

confidence: 99%

Atom probe microscopy investigation of Mg site occupancy within δ′ precipitates in an Al–Mg–Li alloy

et al. 2012

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The composition and site-occupancy of Mg within ordered δ' precipitates in a model Al-Mg-Li alloy have been characterized by atom probe microscopy and first-principles simulations. The concentration in the precipitates is found to be almost the same as that of the matrix, however, we show evidence that Mg partitions to the sites normally occupied by Li in the L1 2 structure. Density functional calculations demonstrate that this partition is energetically favorable, in agreement with experimental results.

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“…[19] to enable investigation of the distribution of element-specific inter-atomic separations (e.g. partial pair correlation functions) along particular crystallographic directions.…”

Section: /11mentioning

confidence: 99%

Atom probe microscopy investigation of Mg site occupancy within δ′ precipitates in an Al–Mg–Li alloy

et al. 2012

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“…APT analysis was done under an ultrahigh vacuum (~ 1 x 10 -8 Pa) at ~ 20 K, and a voltage pulse fraction of 20%, using a Local Electrode Atom Probe (LEAP3000X SI®) and having at least 20 million atoms collected for each data set. Imago Visualization and Analysis Software (IVAS TM ) in combination with advanced calibration techniques was used in APT data reconstruction and visualization [23,24]. The maximum separation algorithm was employed for cluster identification [7], with Mg, Si and Cu as clustering solutes, a separation distance of 0.6 nm, a surrounding distance of 0.5 nm to include all other elements, and the minimum cluster size of n = 10 to reduce the effect of small solute clusters that exist in the alloy with solutes in a random distribution [25][26][27].…”

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Solute nanostructures and their strengthening effects in Al–7Si–0.6Mg alloy F357

et al. 2012

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The solute-nanostructures formed in the primary α-Al grains of a Semi-Solid Metal cast Al-7Si-0.6Mg alloy (F357) during ageing at 180°C, and the age-hardening response of the alloy have been systematically investigated using transmission electron microscopy, atom probe tomography and hardness testing. A 120-h natural pre-ageing led to the formation of solute clusters and GP zones. The natural pre-ageing slowed down the precipitation kinetics six-fold during 1 h ageing at 180°C, but this effect diminished after 4 h when the sample reached the same hardness as that without the pre-ageing treatment. It reduced the number density of β″-needles to approximately half of that formed in samples without the treatment, and postponed the peak hardness occurrence to 4 h, 4 times that of the as-quenched sample. A hardness plateau developed in the as-quenched sample between 1 h and 4 h ageing corresponds to the growth of 2 the β″ precipitates and a significant concurrent decrease of solute clusters and GP zones. The average Mg:Si ratio of early solute clusters is < 0.7 while that of GP zones changes from 0.8 to 0.9 with increasing in their size, and that of β″-needles increases from 0.9 to 1.2. β″-needles, GP zones and solute clusters are important strengthening solute nanostructures of the alloy. The partitioning of solutes and precipitation kinetics of the alloy are discussed in detail.

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“…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].…”

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confidence: 99%

Topological Data Analysis for the Characterization of Atomic Scale Morphology from Atom Probe Tomography Images

2018

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Atom probe tomography (APT) represents a revolutionary characterization tool for materials that combine atomic imaging with a time-of-flight (TOF) mass spectrometer to provide direct space three-dimensional, atomic scale resolution images of materials with the chemical identities of hundreds of millions of atoms. It involves the controlled removal of atoms from a specimen's surface by field evaporation and then sequentially analyzing them with a position sensitive detector and TOF mass spectrometer. A paradox in APT is that while on the one hand, it provides an unprecedented level of imaging resolution in three dimensions, it is very difficult to obtain an accurate perspective of morphology or shape outlined by atoms of similar chemistry and microstructure. The origins of this problem are numerous, including incomplete detection of atoms and the complexity of the evaporation fields of atoms at or near interfaces. Hence, unlike scattering techniques such as electron microscopy, interfaces appear diffused, not sharp. This, in turn, makes it challenging to visualize and quantitatively interpret the microstructure at the "meso" scale, where one is interested in the shape and form of the interfaces and their associated chemical gradients. It is here that the application of informatics at the nanoscale and statistical learning methods plays a critical role in both defining the level of uncertainty and helping to make quantitative, statistically objective interpretations where heuristics often dominate. In this chapter, we show how the tools of Topological Data Analysis provide a new and powerful tool in the field of nanoinformatics for materials characterization.

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Qualification of the tomographic reconstruction in atom probe by advanced spatial distribution map techniques

Cited by 138 publications

References 26 publications

Atom probe microscopy investigation of Mg site occupancy within δ′ precipitates in an Al–Mg–Li alloy

Atom probe microscopy investigation of Mg site occupancy within δ′ precipitates in an Al–Mg–Li alloy

Solute nanostructures and their strengthening effects in Al–7Si–0.6Mg alloy F357

Topological Data Analysis for the Characterization of Atomic Scale Morphology from Atom Probe Tomography Images

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