Application of machine learning techniques to electron microscopic/spectroscopic image data analysis

S Muto, M Shiga - Microscopy, 2020 - academic.oup.com
The combination of scanning transmission electron microscopy (STEM) with analytical
instruments has become one of the most indispensable analytical tools in materials science …

Applying chemometrics to study battery materials: Towards the comprehensive analysis of complex operando datasets

M Fehse, A Iadecola, MT Sougrati, P Conti… - Energy Storage …, 2019 - Elsevier
In the last decade, a rapidly growing number of operando spectroscopy analyses have
helped unravelling the electrochemical mechanism of lithium and post-lithium battery …

Sparse modeling of EELS and EDX spectral imaging data by nonnegative matrix factorization

M Shiga, K Tatsumi, S Muto, K Tsuda, Y Yamamoto… - Ultramicroscopy, 2016 - Elsevier
Advances in scanning transmission electron microscopy (STEM) techniques have enabled
us to automatically obtain electron energy-loss (EELS)/energy-dispersive X-ray (EDX) …

Effect of Mg-doping on the degradation of LiNiO2-based cathode materials by combined spectroscopic methods

S Muto, K Tatsumi, Y Kojima, H Oka, H Kondo… - Journal of power …, 2012 - Elsevier
The performance of a LiNiO2-based cell has been shown to be significantly improved by Mg-
doping of LiNi0. 8Co0. 15Al0. 05O2 (Mg-doped NCA) cathode materials. In the present …

Quantitative Operando Visualization of Electrochemical Reactions and Li Ions in All-Solid-State Batteries by STEM-EELS with Hyperspectral Image Analyses

Y Nomura, K Yamamoto, T Hirayama, M Ohkawa… - Nano …, 2018 - ACS Publications
All-solid-state lithium-ion batteries (LIBs) are one of the promising candidates to overcome
some issues of conventional LIBs with liquid electrolytes. However, high interfacial …

Evaluation of EELS spectrum imaging data by spectral components and factors from multivariate analysis

S Zhang, C Scheu - Microscopy, 2018 - academic.oup.com
Multivariate analysis is a powerful tool to process spectrum imaging datasets of electron
energy loss spectroscopy. Most spatial variance of the datasets can be explained by a …

Visualization of lithium transfer resistance in secondary particle cathodes of bulk-type solid-state batteries

Y Nomura, K Yamamoto, T Hirayama, E Igaki… - ACS Energy …, 2020 - ACS Publications
The rate capability of bulk-type solid-state Li-ion batteries is limited by the solid-state
diffusion of Li ions in the cathodes that typically form micrometer-sized polycrystalline …

Degradation analysis of a Ni-based layered positive-electrode active material cycled at elevated temperatures studied by scanning transmission electron microscopy …

Y Kojima, S Muto, K Tatsumi, H Kondo, H Oka… - Journal of Power …, 2011 - Elsevier
We investigate the local structural changes in a positive electrode of a lithium ion secondary
battery (LiNi 0.8 Co 0.15 Al 0.05 O 2 (NCA) as the active material) associated with charge …

Grain boundary segregation behavior of boron in low-alloy steel

G Shigesato, T Fujishiro, T Hara - Metallurgical and Materials Transactions …, 2014 - Springer
The boron concentration profiles around prior austenite grain boundaries in Fe-0.05 C-0.5
Mo-0.001 B (mass pct) are examined using aberration-corrected STEM-EELS. In order to …

Detection of local chemical states of lithium and their spatial mapping by scanning transmission electron microscopy, electron energy-loss spectroscopy and …

S Muto, K Tatsumi - Microscopy, 2017 - academic.oup.com
Advancements in the field of renewable energy resources have led to a growing demand for
the analysis of light elements at the nanometer scale. Detection of lithium is one of the key …