Multi-Dimensional Characterization of Battery Materials

摘要

Demand for low carbon energy storage has highlighted the importance ofimaging techniques for the characterization of electrode microstructures todetermine key parameters associated with battery manufacture, operation,degradation, and failure both for next generation lithium and other novelbattery systems. Here, recent progress and literature highlights frommagnetic resonance, neutron, X-ray, focused ion beam, scanning andtransmission electron microscopy are summarized. Two major trends areidentified: First, the use of multi-modal microscopy in a correlative fashion,providing contrast modes spanning length- and time-scales, and second, theapplication of machine learning to guide data collection and analysis,recognizing the role of these tools in evaluating large data streams fromincreasingly sophisticated imaging experiments.