Atomically resolved tomography to directly inform simulations for structure–property relationships

Microscopy encompasses a wide variety of forms and scales. So too does the array of simulation techniques developed that correlate to and build upon microstructural information. Nevertheless, a true nexus between microscopy and atomistic simulations is lacking. Atom probe has emerged as a potential...

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Veröffentlicht in:Nature communications 2014-11, Vol.5 (1), p.5501-5501, Article 5501
Hauptverfasser: Moody, Michael P., Ceguerra, Anna V., Breen, Andrew J., Cui, Xiang Yuan, Gault, Baptiste, Stephenson, Leigh T., Marceau, Ross K. W., Powles, Rebecca C., Ringer, Simon P.
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Sprache:eng
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Zusammenfassung:Microscopy encompasses a wide variety of forms and scales. So too does the array of simulation techniques developed that correlate to and build upon microstructural information. Nevertheless, a true nexus between microscopy and atomistic simulations is lacking. Atom probe has emerged as a potential means of achieving this goal. Atom probe generates three-dimensional atomistic images in a format almost identical to many atomistic simulations. However, this data is imperfect, preventing input into computational algorithms to predict material properties. Here we describe a methodology to overcome these limitations, based on a hybrid data format, blending atom probe and predictive Monte Carlo simulations. We create atomically complete and lattice-bound models of material specimens. This hybrid data can then be used as direct input into density functional theory simulations to calculate local energetics and elastic properties. This research demonstrates the role that atom probe combined with theoretical approaches can play in modern materials engineering. Atom probe tomography is known to be an important tool for probing atomic-scale chemical distribution in various materials. Now, Moody and colleagues demonstrate an approach by which atom probe data can be used to directly inform first-principles calculations, for the determination of local properties.
ISSN:2041-1723
2041-1723
DOI:10.1038/ncomms6501