Speaker: Andrew FT Leong, LANL
Program Description:
Understanding the dynamic structure-function relationship of porous materials has important applications in medicine, defense and fusion energy. X-ray phase contrast imaging (XPCI), together with the brilliant x-ray sources at LCLS and other synchrotron facilities, has provided unprecedented insight into how mesoscale features in porous media evolve in real-time and explain their mechanical properties. The next step is to extract quantitative information from recorded XPCI images to better understand the failure mechanisms and develop constitutive models for creating and evaluating the performance of new application-driven porous structures. The persistent problem is porous materials are 3D heterogeneous structures that often evolve so rapidly that it becomes only possible to capture a single XPCI image at a time. It is highly challenging to interpret and extract measurable information about porous materials with only a single projection. In this talk, I describe different computational techniques to overcome this limitation for increasingly complex porous materials ranging from single to densely populated random sized non-spherical pores.
