Results 211 to 220 of about 21,156 (298)

Debunking Common Myths & Misconceptions About NMC Positive Electrode Materials for Li‐ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
LiNixMnyCozO2 (NMC) and LiNixCoyAlzO2 (NCA) remain the choice for high‐energy‐density lithium‐ion battery positive electrode materials, yet many myths persist surrounding them. Herein, four common misconceptions are tackled to better inform the lithium‐ion battery field.
Matthew D. L. Garayt   +10 more
wiley   +1 more source

Investigation Into the Electrochemical Performance of Micron‐ and Nanosized Tin in Diglyme and Carbonate Electrolytes in Sodium Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This study compares Sn particles of different sizes in NIBs using carbonate‐ and diglyme‐based electrolytes. Diglyme electrolytes enable stable cycling despite large volume changes, while carbonate electrolytes degrade rapidly, especially with nanoparticles.
Chinnasamy Murugesan   +4 more
wiley   +1 more source

Solid–liquid equilibria in the LiOH–ethanol–water system: Solubility measurements and thermodynamic modeling

open access: yesAIChE Journal, EarlyView.
Abstract The demand for LiOH is driven by the growth of the electric vehicle industry. Evaporative crystallization of LiOH·H2O is energy intensive, whereas ethanol‐based antisolvent crystallization has emerged as a more sustainable alternative. From a process design perspective, the crystallization yield depends on the ethanol dosage, and thermodynamic
Xiaoqi Xu   +3 more
wiley   +1 more source

Recent Advances in Polymer-Based Thermal Barrier Materials for Mitigating Thermal Runaway Propagation in Lithium-Ion Batteries. [PDF]

open access: yesPolymers (Basel)
Li Y   +10 more
europepmc   +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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