Probing structure–property relationships in functional ceramics demands integrated approaches combining complementary experimental probes (e.g., light, X-ray, electron, neutron) with theory and simulation. Spatially and temporally resolved multiscale state-of-the-art scattering, imaging, and/or spectroscopy techniques can capture the dynamic material structure, composition and microstructure under external stimuli (e.g., electric/magnetic and stress/strain fields), which are necessary to answer open questions in this field.

This symposium bridges the Basic Science and Electronics Divisions, focusing on rapidly developing experimental and computational-imaging techniques, big-data analysis, and modeling approaches, to answer open structure–property relationship questions in functional ceramics, and demonstrate use cases of these methods.

The symposium will demonstrate new characterization techniques and stimulate new research questions and collaborations. Methods for approaching challenging problems spanning from functional interfaces to structural ordering will be featured. Contributions integrating novel applications of computational tools to predict and interpret scattering, diffraction, and microscopy data (e.g., Ptychography, Molecular-Dynamics) are encouraged.

Proposed sessions

  • Advances in scattering, imaging, and analytical techniques
  • Integrating computational-imaging techniques and machine-learning into the structural measurement workflow
  • Advances in connecting local and global structure to properties
  • Addressing open questions in functional ceramics

Organizers

Hadas Sternlicht, Pennsylvania State University, USA, hsternlicht@psu.edu

Chris Fancher, Oak Ridge National Laboratory, USA, fanchercm@ornl.gov

James LeBeau, Massachusetts Institute of Technology, USA, lebeau@mit.edu

Igor Levin, National Institute of Science and Technology, USA, igor.levin@nist.gov

Mehmet Gulgun, Sabancı University, Turkey,  mehmet.gulgun@sabanciuniv.edu

Megan Holtz, Colorado School of Mines, USA, mholtz@mines.edu

Robert Hovden, University of Michigan, USA, hovden@umich.edu

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