Results 221 to 230 of about 1,727,168 (295)

Itaconic Anhydride as a Novel Bio-Derived Solid Electrolyte Interphase Forming Additive for Lithium-Ion Batteries. [PDF]

open access: yesChemSusChem
Orbay M   +7 more
europepmc   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu   +5 more
wiley   +1 more source

A Quantitative Lithium Inventory Framework for Anode‐Free Lithium Metal Batteries

open access: yesAdvanced Energy Materials, EarlyView.
A component‐resolved lithium inventory framework quantitatively tracks Li redistribution across the cell in anode‐free NMC622||Cu pouch cells throughout cycling. Three sequential degradation stages are identified: formation‐driven cathode Li depletion, midlife inactive Li0 accumulation, and late‐stage runaway SEI thickening. The cathode, as the sole Li
Wurigumula Bao   +9 more
wiley   +1 more source

Reliable Evaluation of Na‐Ion Battery Materials: Eliminating Na‐Metal Distortions

open access: yesAdvanced Energy Materials, EarlyView.
Na metal is highly reactive in carbonate electrolytes, forming unstable interphases and triggering parasitic reactions that distort measurements and undermine reproducibility. To enable accurate evaluation of materials for Na‑ion batteries, this work suggests that NASICON‑type counter electrodes provide a practical and stable platform for distortion ...
Jinkwang Hwang   +9 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

Electrochemical and Thermal Interplay in Blended Cathodes for All Solid‐State Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This work analyzes blended LFP‐NMC cathodes for all solid state batteries, revealing their balanced rate performance and enhanced thermal properties. Operando X‐ray diffraction studies uncovered lithiation gradients and asymmetric charging effects due to kinetic limitations.
Simon Si Ming Ji   +17 more
wiley   +1 more source

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