Cairney JM, Rajan K, Haley D, Gault B, Bagot PJ, Choi PP, Felfer P, Ringer SP, Marceau RKW, Moody MP (2015)
Publication Status: Published
Publication Type: Journal article, Original article
Publication year: 2015
Book Volume: 159
Pages Range: 324-337
DOI: 10.1016/j.ultramic.2015.05.006
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 materials science. The power to explore materials at the atomic scale with the extraordinary level of sensitivity of detection offered by atom probe tomography has not been not fully harnessed due to the challenges of dealing with missing, sparse and often noisy data. Hence there is a profound need to couple the analytical tools to deal with the data challenges with the experimental issues associated with this instrument. In this paper we provide a summary of some key issues associated with the challenges, and solutions to extract or "mine" fundamental materials science information from that data.
APA:
Cairney, J.M., Rajan, K., Haley, D., Gault, B., Bagot, P.J., Choi, P.-P.,... Moody, M.P. (2015). Mining information from atom probe data. Ultramicroscopy, 159, 324-337. https://doi.org/10.1016/j.ultramic.2015.05.006
MLA:
Cairney, Julie M., et al. "Mining information from atom probe data." Ultramicroscopy 159 (2015): 324-337.
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