The development of new batteries has historically been achieved through discovery and
development cycles based on the intuition of the researcher, followed by experimental trial …

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 …

Lithium-ion batteries (LIBs) have become one of the main energy storage solutions in
modern society. The application fields and market share of LIBs have increased rapidly and …

Technologies that accelerate the delivery of reliable battery-based energy storage will not
only contribute to decarbonization such as transportation electrification, smart grid, but also …

In the field of energy storage, it is very important to predict the state of charge and the state of
health of lithium-ion batteries. In this paper, we review the current widely used equivalent …

Batteries are of paramount importance for the energy storage, consumption, and
transportation in the current and future society. Recently machine learning (ML) has …

The statistical design of experiments methodology (DoE) has been a valuable tool since its
conception for the understanding of the relationship between factors and responses …

As the demand for lithium‐ion batteries (LIBs) continuously grows, the necessity to improve
their efficiency/performance also grows. For this reason, optimization of the individual …

As the world races to respond to the diverse and expanding demands for electrochemical
energy storage solutions, lithium‐ion batteries (LIBs) remain the most advanced technology …

X-ray computed tomography (CT) is a non-destructive imaging technique in which contrast
originates from the materials' absorption coefficient. The recent development of laboratory …