This is a critical review of artificial intelligence/machine learning (AI/ML) methods applied to
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …

Predicting, monitoring, and optimizing the performance and health of a battery system
entails a variety of complex variables as well as unpredictability in given conditions. Data …

The accurate analysis of microscopy images representing various materials obtained in
scanning probe microscopy, scanning tunneling microscopy, and transmission electron …

We apply variational autoencoders (VAE) to X-ray diffraction (XRD) data analysis on both
simulated and experimental thin-film data. We show that crystal structure representations …

Powder crystallography is the experimental science of determining the structure of
molecules provided in crystalline-powder form, by analyzing their x-ray diffraction (XRD) …

A fast, robust pipeline for strain mapping of crystalline materials is important for many
technological applications. Scanning electron nanodiffraction allows us to calculate strain …

All-solid-state batteries (ASSBs) are the important attributes of the forthcoming technologies
for electrochemical energy storage. A key element of ASSBs is the solid electrolyte …

A key step in the analysis of powder X-ray diffraction (PXRD) data is the accurate
determination of unit-cell lattice parameters. This step often requires significant human …

X-ray crystallography provides a distinctive view on the three-dimensional structure of
crystals. To reconstruct the electron density map, the complex structure factors F= F exp i ϕ …

Li-ion batteries are the most wide-spread electrochemical energy storage systems. Cathode
materials are a major focus because they are considered the limiting element of overall …