Lithium‐ion batteries (LIBs) are vital energy‐storage devices in modern society. However,
the performance and cost are still not satisfactory in terms of energy density, power density …

For the proper design and evaluation of next‐generation lithium‐ion batteries, different
physical‐chemical scales have to be considered. Taking into account the electrochemical …

Abstract Machine learning plays an important role in accelerating the discovery and design
process for novel electrochemical energy storage materials. This review aims to provide the …

Today, there is an urgent demand to develop all solid‐state lithium‐ion batteries (LIBs) with
a high energy density and a high degree of safety. The core technology in solid‐state …

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

In this review, state-of-the-art polymer electrolytes are discussed with respect to their
electrochemical and physical properties for their application in lithium polymer batteries. We …

Lithium batteries are promising energy storage systems for applications in electric vehicles.
However, conventional liquid electrolytes inherit serious safety hazards including leakage …

Batteries are vital energy storage carriers in industry and in our daily life. There is continued
interest in the developments of batteries with excellent service performance and safety …

Solid polymer electrolytes (SPEs) have the potential to improve lithium-ion batteries by
enhancing safety and enabling higher energy densities. However, SPEs suffer from …

Lithium batteries (LBs) have many high demands regarding their application in portable
electronic devices, electric vehicles, and smart grids. Machine learning (ML) can effectively …