The emergence of artificial intelligence (AI) and, more particularly, machine learning (ML),
has had a significant impact on engineering and the fundamental sciences, resulting in …

As modern society evolves, the global importance of energy requirements has grown
significantly. Thus, exploring new materials for renewable energy storage is urgently …

A coupled finite elements method (FEM) and machine learning (ML) workflow is presented
to optimize the rate capability of thick positive electrodes (ca. 150 μm and 8 mAh/cm2). An …

Laser structuring of graphite anodes substantially improves the electrochemical
performance of lithium-ion batteries by facilitating lithium-ion diffusion through the electrode …

Fast charging of high-capacity anodes is challenging due to lithium plating reactions, which
lead to poor cycling performance and safety concerns. Thus, accurate predictions of plating …

To sustain the high-rate current required for fast charging electric vehicle batteries,
electrodes must exhibit sufficiently high effective ionic diffusion. Additionally, to reduce …

New energy vehicles encounter problems such as short mileage and restricted use
environments throughout their development and commercialization, and the service life of …

The heterogeneity in the state of charge (SOC) across electrodes can significantly
abbreviate battery lifespan, deteriorate safety metrics, and diminish capability rate. Despite …

In addition to the research and development of solid electrolytes to improve battery
performance, an efficient battery management system (BMS) is a must to ensure safe use …

Hybrid anodes formed by blending graphite and hard carbon have been demonstrated to be
an effective method of overcoming the inherent tradeoff between the energy density and fast …