Dynamic investigation of battery materials via advanced visualization: from particle, electrode to cell level
Li‐ion batteries, the most‐popular secondary battery, are typically electrochemical systems
controlled by ion‐insertion dynamics. The battery dynamics involve mass transport, charge …
controlled by ion‐insertion dynamics. The battery dynamics involve mass transport, charge …
Engineering dp orbital hybridization for high-stable lithium manganate cathode
Spinel LiMn 2 O 4 is a prevalent cathode material due to its environmental benignities and
high operating voltage. Nevertheless, capacity attenuation and structural collapse are still …
high operating voltage. Nevertheless, capacity attenuation and structural collapse are still …
[HTML][HTML] A deep convolutional neural network for real-time full profile analysis of big powder diffraction data
Abstract We present Parameter Quantification Network (PQ-Net), a regression deep
convolutional neural network providing quantitative analysis of powder X-ray diffraction …
convolutional neural network providing quantitative analysis of powder X-ray diffraction …
Three-dimensional operando optical imaging of particle and electrolyte heterogeneities inside Li-ion batteries
Understanding (de) lithiation heterogeneities in battery materials is key to ensure optimal
electrochemical performance. However, this remains challenging due to the three …
electrochemical performance. However, this remains challenging due to the three …
[HTML][HTML] Using in-situ laboratory and synchrotron-based x-ray diffraction for lithium-ion batteries characterization: A review on recent developments
Renewable technologies, and in particular the electric vehicle revolution, have generated
tremendous pressure for the improvement of lithium ion battery performance. To meet the …
tremendous pressure for the improvement of lithium ion battery performance. To meet the …
[HTML][HTML] Depth-dependent valence stratification driven by oxygen redox in lithium-rich layered oxide
Lithium-rich nickel-manganese-cobalt (LirNMC) layered material is a promising cathode for
lithium-ion batteries thanks to its large energy density enabled by coexisting cation and …
lithium-ion batteries thanks to its large energy density enabled by coexisting cation and …
Accelerating Battery Characterization Using Neutron and Synchrotron Techniques: Toward a Multi‐Modal and Multi‐Scale Standardized Experimental Workflow
D Atkins, E Capria, K Edström… - Advanced Energy …, 2022 - Wiley Online Library
Li‐ion batteries are the essential energy‐storage building blocks of modern society.
However, producing ultra‐high electrochemical performance in safe and sustainable …
However, producing ultra‐high electrochemical performance in safe and sustainable …
Localizing Oxygen Lattice Evolutions Eliminates Oxygen Release and Voltage Decay in All‐Mn‐Based Li‐Rich Cathodes
Abstract All‐Mn‐based Li‐rich cathodes Li2MnO3 have attracted extensive attention
because of their cost advantage and ultrahigh theoretical capacity. However, the unstable …
because of their cost advantage and ultrahigh theoretical capacity. However, the unstable …
Spatiotemporal mapping of microscopic strains and defects to reveal Li-dendrite-induced failure in all-solid-state batteries
Solid-state electrolytes (SSEs) are key to the success and reliability of all-solid-state lithium
batteries, potentially enabling improvements in terms of safety and energy density over state …
batteries, potentially enabling improvements in terms of safety and energy density over state …
[HTML][HTML] Mapping the architecture of single lithium ion electrode particles in 3D, using electron backscatter diffraction and machine learning segmentation
Accurately quantifying the architecture of lithium ion electrode particles in 3D is critical to
understanding sub-particle lithium transport, rate limitations, and degradation mechanisms …
understanding sub-particle lithium transport, rate limitations, and degradation mechanisms …