X-ray tomography applied to electrochemical devices and electrocatalysis
X-ray computed tomography (CT) is a nondestructive three-dimensional (3D) imaging
technique used for studying morphological properties of porous and nonporous materials. In …
technique used for studying morphological properties of porous and nonporous materials. In …
Bridging nano-and microscale X-ray tomography for battery research by leveraging artificial intelligence
X-ray computed tomography (CT) is a non-destructive imaging technique in which contrast
originates from the materials' absorption coefficient. The recent development of laboratory …
originates from the materials' absorption coefficient. The recent development of laboratory …
Machine-learning-revealed statistics of the particle-carbon/binder detachment in lithium-ion battery cathodes
The microstructure of a composite electrode determines how individual battery particles are
charged and discharged in a lithium-ion battery. It is a frontier challenge to experimentally …
charged and discharged in a lithium-ion battery. It is a frontier challenge to experimentally …
Spatial and temporal analysis of sodium-ion batteries
As a promising alternative to the market-leading lithium-ion batteries, low-cost sodium-ion
batteries (SIBs) are attractive for applications such as large-scale electrical energy storage …
batteries (SIBs) are attractive for applications such as large-scale electrical energy storage …
Recent progress in all-solid-state lithium batteries: The emerging strategies for advanced electrolytes and their interfaces
Y Chen, K Wen, T Chen, X Zhang, M Armand… - Energy storage …, 2020 - Elsevier
With the development of lithium battery technologies, and the increasing demand for energy
density and safety, all-solid-state lithium batteries (ASSLBs) have received more and more …
density and safety, all-solid-state lithium batteries (ASSLBs) have received more and more …
Guiding the design of heterogeneous electrode microstructures for Li‐ion batteries: microscopic imaging, predictive modeling, and machine learning
Electrochemical and mechanical properties of lithium‐ion battery materials are heavily
dependent on their 3D microstructure characteristics. A quantitative understanding of the …
dependent on their 3D microstructure characteristics. A quantitative understanding of the …
2020 roadmap on solid-state batteries
Li-ion batteries have revolutionized the portable electronics industry and empowered the
electric vehicle (EV) revolution. Unfortunately, traditional Li-ion chemistry is approaching its …
electric vehicle (EV) revolution. Unfortunately, traditional Li-ion chemistry is approaching its …
[HTML][HTML] Microcomputed tomography–based characterization of advanced materials: a review
Micro-computed tomography (CT) is an X-ray tomography technique with (sub) micron
resolution, typically using an X-ray tube with cone-beam geometry as a source and a …
resolution, typically using an X-ray tube with cone-beam geometry as a source and a …
Towards fast-charging high-energy lithium-ion batteries: from nano-to micro-structuring perspectives
Electric vehicles (EVs) have been playing an indispensable role in reducing greenhouse
gas emissions for our modern society. However, current EVs are difficult to meet people's …
gas emissions for our modern society. However, current EVs are difficult to meet people's …
Detection of COVID-19 cases through X-ray images using hybrid deep neural network
Purpose The latest 2019 coronavirus (COVID-2019), which first appeared in December
2019 in Wuhan's city in China, rapidly spread around the world and became a pandemic. It …
2019 in Wuhan's city in China, rapidly spread around the world and became a pandemic. It …