Computer vision aided modeling of reaction rates during operando battery cycling
Researchers at the Massachusetts Institute of Technology, Stanford University, and the Toyota Research Institute conducted in-situ scanning transmission X-ray microscopy (STXM) using their Hummingbird Scientific in-situ X-ray bulk liquid electrochemistry sample holder to study heterogeneous reaction kinetics in lithium iron phosphate (LFP) nanoparticles. The work combined a large data set of X-ray chemical mappings with computer vision to develop a data-driven model for heterogeneous reaction kinetics. This integrated and data-driven approach is critical for improving the efficiency of battery and electrocatalyst materials where spatially heterogeneous and unstable interfaces govern complex reaction kinetics.
Video: X-ray chemical maps of LiFePO4 nanoparticles during charging and discharging. Experimental STXM (left) and simulated results (right) show remarkable agreement. Scale bar 1 μm.
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Reference: Zhao et al. Nature 2023, 621, pp. 289-294. DOI: 10.1038/s41586-023-06393-x