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Presentation given at the Integrated Computational Materials Engineering conference 2013. This presentation provides a brief survey of what spatial correlation functions can provide for point cloud microstructure datasets. This method is applicable to very large (~1,000,000 datapoints) both experimental and computational microstructure datasets. It is applied to Aluminum molecular dynamics simulations provided by Chandler Becker at NIST, molecular dynamics simulations of mechanical deformation of polymer materials provided by Karl Jacobs and Xin Dong at Georgia Tech, and lastly experimental datasets of the solidfication of Al-Cu alloys generated from X-ray Computed Tomography as provided by Peter Voorhees and John Gibbs at Northwestern University.