Hyperspectral Data Analytics and Image Analysis Toolsets Across Length Scales

Jan 1, 2022
Using curated reference spectra, accurate and quantitative mapping of inter- and intra-particle compositional heterogeneities, phase separation, and stress gradients is achieved for a canonical phase-transforming positive electrode material, α-V2O5.
Using curated reference spectra, accurate and quantitative mapping of inter- and intra-particle compositional heterogeneities, phase separation, and stress gradients is achieved for a canonical phase-transforming positive electrode material, α-V2O5.

We have curated a large database of X-ray absorption spectra for phase-pure lithiated transition metal oxides with well-defined lithiation stoichiometries. The database is used to aid rapid identification of compositional, phase, and stress heterogeneities in individual particles and across ensembles of particles using powerful synchrotron-based hyperspectral imaging techniques. In an article in the Cell Press journal Patterns, we demonstrate the application of this material to a canonical positive electrode material in the context of monitoring the origins of degradation mechanisms in battery electrodes. The spectral database and toolsets for accelerated characterization combining singular value decomposition, principal-component analysis, k-means clustering, and linear combination fitting have been made available as Mendeley datasets.

NSF Logo

Any opinions, findings, and conclusions or recommendations expressed on this website are those of the participants and do not necessarily reflect the views of the National Science Foundation or the participating institutions. This site is maintained collaboratively by principal investigators with Designing Materials to Revolutionize and Engineer our Future awards, independent of the NSF.

DMREF Logo