TY - JOUR
AU1 - Tanimoto, Hiroki
AU2 - Hongkun, Xu
AU3 - Mizumaki, Masaishiro
AU4 - Seno, Yoshiki
AU5 - Uchiwada, Jumpei
AU6 - Yamagami, Ryo
AU7 - Kumazoe, Hiroyuki
AU8 - Iwamitsu, Kazunori
AU9 - Kimura, Yuta
AU1 - Amezawa, Koji
AU1 - Akai, Ichiro
AU1 - Aonishi, Toru
AB - Abstract: Lithium-ion secondary batteries have been used in a wide variety of purposes, such as for powering mobile devices and electric vehicles, but their performance should be improved. One of the factors that limits their performance is the non-uniformity of the chemical reaction in the process of charging and discharging. Many attempts have been made to elucidate the mechanism behind this reaction non-uniformity. In this paper, to detect non-uniformity in various physical properties from Co K-edge two-dimensional X-ray absorption spectroscopy (2D-XAS) images of lithium ion batteries, we propose a method that consists of one-sided orthogonal non-negative matrix factorization in combination with removal of the reference signal. The difference between X-ray absorption spectra acquired at different positions in the battery is very small. However, even in such a situation, our method can decompose the 2D-XAS data into different spatial domains and their corresponding absorption spectra. From the spectral decomposition of the obtained absorption spectra, we confirmed a transition-energy shift of the main peak as evidence for a change in the state of charge and also found spectral changes due to orbital hybridization in the decomposed spectral components.
TI - Non-Negative Matrix Factorization for 2D-XAS Images of Lithium Ion Batteries
JF - Physics
DA - 2020-09-07
UR - https://www.deepdyve.com/lp/arxiv-cornell-university/non-negative-matrix-factorization-for-2d-xas-images-of-lithium-ion-M0siWF9hza
VL - 2021
IS - 2009
DP - DeepDyve
ER -