| AVS 65th International Symposium & Exhibition | |
| Novel Trends in Synchrotron and FEL-Based Analysis Focus Topic | Thursday Sessions |
| Session SA+AS+HC+SS-ThA |
| Session: | IoT Session: Multi-modal Characterization of Energy Materials & Device Processing |
| Presenter: | Klaus Attenkofer, Brookhaven National Laboratory |
| Authors: | K. Attenkofer, Brookhaven National Laboratory E. Stavitski, Brookhaven National Laboratory M. Liu, Brookhaven National Laboratory D. Lu, Brookhaven National Laboratory M. Topsakal, Brookhaven National Laboratory D.J. Stacchiola, Brookhaven National Laboratory M.S. Hybertsen, Brookhaven National Laboratory |
| Correspondent: | Click to Email |
To reveal the structure and even more important, the structure-function correlation of materials are essential prerequisites to the optimization and rational design of materials in energy storage and conversion applications. The complex processes resulting in the function typically involve not only the initial chemical reaction but a wide range of reorganizations, phase transitions, and transport phenomena which finally determine the efficiency of the material and its reliability in applications. The characterization challenge of visualizing changes on multiple length scales of ordered and disordered materials is one aspect of the characterization problem; to correlate the identified changes with the function of the material and distinguish the essential changes from other non-correlated alternation is the second equally important task.
In the talk we will show on various examples from the field of fuel cells and batteries, how high throughput hard X-ray spectroscopy can be combined with data analytics and theory to reveal the atomic structure of the ordered and disordered materials. In a next step a true imaging tool like transmission electron microscopy is used to verify this structure. The high throughput aspect of this approach provides not only a new opportunity to use database approaches to guarantee an unbiased method for the structure identification and optimization with a “field of view” in the nanometer range but also provides a new strategy to use data analytics, especially data mining approaches, to establish the structure-function correlation. The combination of ex-situ and operando experiments provides a statistical relevant data quantity and a diversity of the data necessary to this approach and is minimizing at the same time challenges caused by sample damage.