Results 171 to 180 of about 44,587 (338)

In Situ Evolution of Artificial Interphase Enabling Stable, High‐Performance Lithium Metal Batteries

open access: yesAdvanced Energy Materials, EarlyView.
An evolutionary artificial interphase is presented for stable lithium metal batteries. A Mg3N2‐based layer spontaneously evolves into a hybrid interphase enriched with superionic Li3N and lithiophilic Mg‐Li alloy during cycling. This dynamic, self‐reinforcing mechanism effectively suppresses dendrite growth and enables exceptional long‐term cycling ...
Sangcheol Lee   +4 more
wiley   +1 more source

Nickel‐Free Synthesis of Poly(pyrene‐4,5,9,10‐tetraone) for Sodium‐based Batteries: Insights into Electrode Architecture and Reversible Na‐ion Insertion

open access: yesAdvanced Energy Materials, EarlyView.
A nickel‐free and practical synthesis strategy to poly(pyrene tetraone) and its integration with a percolated CNTs/Ketjen Black network enables stable cycling and efficient energy storage in a sodium‐based batteries. This work demonstrates how controlling polymer structure and electrode architecture improves ion transport and mitigates dissolution in ...
Md. Adil   +9 more
wiley   +1 more source

Limitations of Foundation Models in Energy Materials Simulations: A Case Study in Polyanion Sodium Cathode Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen   +5 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

open access: yesAdvanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin   +4 more
wiley   +1 more source

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