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Three-Dimensional Materials Science: An Intersection of Three-Dimensional Reconstructions and Simulations

Published online by Cambridge University Press:  31 January 2011

Katsuyo Thornton  and
Henning Friis Poulsen

Abstract

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The recent development of experimental techniques that rapidly reconstruct the three-dimensional microstructures of solids has given rise to new possibilities for developing a deeper understanding of the evolution of microstructures and the effects of microstructures on materials properties. Combined with three-dimensional (3D) simulations and analyses that are capable of handling the complexity of these microstructures, 3D reconstruction, or tomography, has become a powerful tool that provides clear insights into materials processing and properties. This introductory article provides an overview of this emerging field of materials science, as well as brief descriptions of selected methods and their applicability.

Type
Research Article
Information
MRS Bulletin , Volume 33 , Issue 6: Three-Dimensional Materials Science , June 2008 , pp. 587 - 595
Copyright
Copyright © Materials Research Society 2008

References

1.Russ, J.C., DeHoff, R.T., Practical Stereology (Kluwer Academic/Plenum Publishers, New York, 2000).Google Scholar
2.Sethian, J.A., Level Set Methods and Fast Marching Methods (Cambridge University Press, Cambridge, UK, 1999).Google Scholar
3.Chen, L.Q., Annu. Rev. Mater. Res. 32, 113 (2002).Google Scholar
4.Hughes, T.J.R., The Finite Element Method: Linear Static and Dynamic Finite Element Analysis (Dover, Mineola, NY, 2000).Google Scholar
5.Frankel, D., Smit, B., Understanding Molecular Simulation: From Algorithms to Applications (Academic Press, San Diego, CA, 2002).Google Scholar
6.Alkemper, J., Voorhees, P.W., J. Microsc. 201, 388 (2001).Google Scholar
7.Spowart, J.E., Mullens, H.M., Puchala, B.T., JOM 55, 35 (2003).Google Scholar
8.Uchic, M.D., Holzer, L., Inkson, B.J., Principe, E.L., Munroe, P., MRS Bull. 32, 408 (2007).Google Scholar
9.Mater. Today 10 (12) (2007).Google Scholar
10.Banhart, J., ed., Advanced Tomographic Methods in Materials Research and Engineering (Oxford University Press, Oxford, UK, 2008).Google Scholar
11.Herman, G.T., Image Reconstructions from Projections (Academic Press, New York, 1980).Google Scholar
12.Ludwig, O., Dimichiel, M., Salvo, L., Suery, M., Falus, P., Metall. Mater. Trans. A 36A, 1515 (2005).Google Scholar
13.Cloetens, P., Ludwig, W., Baruchel, J., Van Dyck, D., Van Landuyt, J., Guigay, J.P., Schlenker, M., Appl. Phys. Lett. 75, 2912 (1999).Google Scholar
14.Poulsen, H.F., Three-Dimensional X-Ray Diffraction Microscopy (Springer, Berlin, Germany, 2004).CrossRefGoogle Scholar
15.Larson, B.C., Yang, W., Ice, G.E., Budai, J.D., Tischler, J.Z., Nature 415, 887 (2002).Google Scholar
16.Reimers, W., Pyzalla, A.R., Schreyer, A., Clemens, H., eds., Neutrons and Synchrotron Radiation in Engineering Science (Wiley-VCH, Weinheim, Germany, 2008).Google Scholar
17.MRS Bull. 29 (3) (2004).Google Scholar
18.Vontobel, P., Lehmann, E.H., Hassanein, R., Frei, G., Physica B 385, 475 (2006).Google Scholar
19.MRS Bull. 32 (11) (2007).Google Scholar
20.Kwon, Y., Thornton, K., Voorhees, P.W., Phys. Rev. E 75, 021120 (2007).Google Scholar