@article {1566,
	title = {Serial sectioning in the SEM for three dimensional materials science},
	journal = {Current Opinion in Solid State and Materials Science},
	year = {2020},
	pages = {100817},
	abstract = {<p>
	Here we explore the range of serial sectioning techniques that have evolved over the past decade, providing a comprehensive toolkit for capturing rich 3D microstructures, chemistries and crystallographic information, with sub-micron resolution at volumes that extend out to mm3 or even cm3. In each case we consider the challenges associated with their application, the volumes they can analyze, the damage to the surface they impart, and their suitability for different materials. In certain cases these warrant hybrid methods, motivating workflows that leverage multiple sectioning modes within the same instrument. Finally, we provide a perspective on their future development, including advances in data collection, segmentation, registration, data fusion, and correlative microscopy. Furthermore, the exploitation of 3D techniques for a better understanding of existing materials, and the design of new ones, is discussed through their use in multiscale modelling, digital twinning, material informatics and machine learning frameworks.
</p>
},
	keywords = {Biology, Life sciences, Materials science, Scanning electron microscopy, Serial sectioning},
	issn = {13590286},
	doi = {10.1016/j.cossms.2020.100817},
	url = {https://doi.org/10.1016/j.cossms.2020.100817},
	author = {Echlin, Mclean P. and Burnett, Timothy L. and Polonsky, Andrew T. and Pollock, Tresa M. and Withers, Philip J.}
}
@article {1406,
	title = {Solidification-driven orientation gradients in additively manufactured stainless steel},
	journal = {Acta Materialia},
	volume = {183},
	year = {2020},
	pages = {249{\textendash}260},
	abstract = {<p>
	A sample of 304L stainless steel manufactured by Laser Engineered Net Shaping (LENS) was characterized in 3D using TriBeam tomography. The crystallographic, structural, and chemical properties of the as-deposited microstructure have been studied in detail. 3D characterization reveals complex grain morphologies and large orientation gradients, in excess of 10o, that are not easily interpreted from 2D cross-sections alone. Misorientations were calculated via a methodology that locates the initial location and orientation of grains that grow during the build process. For larger grains, misorientation increased along the direction of solidification. For grains with complex morphologies, K-means clustering in orientation space is demonstrated as a useful approach for determining the initial growth orientation. The gradients in misorientation directly tracked with gradients in chemistry predicted by a Scheil analysis. The accumulation of misorientation is linked to the solutal and thermal solidification path, offering potential design pathways for novel alloys more suited for additive manufacturing.
</p>
},
	keywords = {Additive manufacturing, Microstructure, Solidification, Tomography, Tribeam},
	issn = {13596454},
	doi = {10.1016/j.actamat.2019.10.047},
	author = {Polonsky, Andrew T. and Lenthe, William C. and Echlin, Mclean P. and Livescu, Veronica and Gray, George T. and Pollock, Tresa M.}
}
