Battery characterization and prognosis are essential for analyzing underlying
electrochemical mechanisms and ensuring safe operation, especially with the assistance of …

Understanding chemomechanical degradations of layered oxide cathodes is critical to
developing next-generation cathodes for lithium-ion batteries. So far, although the …

Amidst the global trend of advancing renewable energies toward carbon neutrality, energy
storage becomes increasingly critical due to the intermittency of renewables. As an …

With the growing demand for sustainable battery technologies, state-of-the-art
characterization techniques become more and more critical for optimizing battery materials …

Simultaneously achieving high electrochemical activity and high loading for solid-state
batteries has been hindered by slow ion transport within solid electrodes, in particular with …

POREnet, a novel approach to model effective properties of thin porous media, TPM, is
presented. The methodology allows the extraction of local effective property tensors by …

The development of high-energy LiNi x Co y Mn z O 2 (NCM) cathode materials for lithium-
ion batteries (LIBs) is central to many emerging technologies in the fields of power and …

Synchrotron tomography experiments are transitioning into multi-functional, cross-scale and
dynamic characterizations, enabled by new generation synchrotron light sources and fast …

In this study, a processing flow model for recognizing, statistically analyzing, and assessing
pitting images in 2024 aluminum alloy was established based on deep learning object …

Multimodal data hold paramount significance in the realm of battery science research.
Traditional manual tools for data analysis have proven inadequate in meeting the demands …