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A state-of-the-art review of experimental and computational studies of granular materials: Properties, advances, challenges, and future directions
P Tahmasebi - Progress in Materials Science, 2023 - Elsevier
Modeling of heterogeneous materials and media is a problem of fundamental importance to
a wide class of phenomena and systems, ranging from condensed matter physics, soft …
a wide class of phenomena and systems, ranging from condensed matter physics, soft …
A continuum of physics-based lithium-ion battery models reviewed
Physics-based electrochemical battery models derived from porous electrode theory are a
very powerful tool for understanding lithium-ion batteries, as well as for improving their …
very powerful tool for understanding lithium-ion batteries, as well as for improving their …
Extremely fast-charging lithium ion battery enabled by dual-gradient structure design
Extremely fast-charging lithium-ion batteries are highly desirable to shorten the recharging
time for electric vehicles, but it is hampered by the poor rate capability of graphite anodes …
time for electric vehicles, but it is hampered by the poor rate capability of graphite anodes …
[HTML][HTML] Insights for understanding multiscale degradation of LiFePO4 cathodes
L Wang, J Qiu, X Wang, L Chen, G Cao, J Wang… - EScience, 2022 - Elsevier
Lithium-ion batteries (LIBs) based on olivine LiFePO 4 (LFP) offer long cycle/calendar life
and good safety, making them one of the dominant batteries in energy storage stations and …
and good safety, making them one of the dominant batteries in energy storage stations and …
Pressure Effects and Countermeasures in Solid‐State Batteries: A Comprehensive Review
H Xu, S Yang, B Li - Advanced Energy Materials, 2024 - Wiley Online Library
Solid‐state batteries (SSBs) have garnered significant attention as promising and safe
electrochemical solutions for high‐energy storage. Despite their advantageous …
electrochemical solutions for high‐energy storage. Despite their advantageous …
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 …
Bridging multiscale characterization technologies and digital modeling to evaluate lithium battery full lifecycle
The safety, durability and power density of lithium‐ion batteries (LIBs) are currently
inadequate to satisfy the continuously growing demand of the emerging battery markets …
inadequate to satisfy the continuously growing demand of the emerging battery markets …
Conducting polymer-based binders for lithium-ion batteries and beyond
In the search for active Lithium-ion battery materials with ever-increasing energy density, the
limits of conventional auxiliary materials, such as binders and conducting additives are …
limits of conventional auxiliary materials, such as binders and conducting additives are …
Dynamic models of Li-ion batteries for diagnosis and operation: a review and perspective
This article discusses the options and challenges of dynamic models for the diagnosis and
operation of Li-ion batteries. It provides a concise yet understandable overview on models …
operation of Li-ion batteries. It provides a concise yet understandable overview on models …
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 …