Ricerc@Sapienza

In recent years, in the context of the application of Multivariate Curve Resolution (MCR) to hyperspectral image analysis, attention has been more and more put onto the possibility of exploiting not only the spectral but also the spatial information for constraining the algorithmic solution. Examples involve the introduction of different spatial constraints during the iterative Alternating Least Squares (ALS) calculation of the MCR solution or the post-processing of the score images using conventional image processing techniques.

Transition metal-based high entropy oxides (TM-HEO) have recently been gaining interest for their potential use as anodes in next-generation Li-ion batteries. In such systems, however, the lithiation/delithiation mechanisms remain a matter of ongoing investigation. In this work we demonstrate the suitability of Multivariate Curve Resolution (MCR) of operando X-ray absorption spectroscopy (XAS) data to study the lithiation mechanisms in the TM-HEO (Mg0.2Co0.2Ni0.2Cu0.2Zn0.2)O.