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Artificial intelligence applied to battery research: hype or reality?
This is a critical review of artificial intelligence/machine learning (AI/ML) methods applied to
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …
[HTML][HTML] Review of conventional and advanced non-destructive testing techniques for detection and characterization of small-scale defects
Inspection reliability of small-scale defects, targeting dimensions below 100 µm, is crucial for
structural safety of critical components in high-value applications. Early defects are often …
structural safety of critical components in high-value applications. Early defects are often …
Restructuring the lithium-ion battery: a perspective on electrode architectures
The lithium-ion battery (LIB) has enabled portable energy storage, yet increasing societal
demands have motivated a new generation of more advanced LIBs. Although the discovery …
demands have motivated a new generation of more advanced LIBs. Although the discovery …
Large-scale physically accurate modelling of real proton exchange membrane fuel cell with deep learning
Proton exchange membrane fuel cells, consuming hydrogen and oxygen to generate clean
electricity and water, suffer acute liquid water challenges. Accurate liquid water modelling is …
electricity and water, suffer acute liquid water challenges. Accurate liquid water modelling is …
End-of-life or second-life options for retired electric vehicle batteries
E-mobility, especially electric cars, has been scaling up rapidly because of technological
advances in lithium-ion batteries (LIBs). However, LIBs degrade significantly with service life …
advances in lithium-ion batteries (LIBs). However, LIBs degrade significantly with service life …
Insights into influencing electrode calendering on the battery performance
As the demand for lithium‐ion batteries (LIBs) continuously grows, the necessity to improve
their efficiency/performance also grows. For this reason, optimization of the individual …
their efficiency/performance also grows. For this reason, optimization of the individual …
[HTML][HTML] Carbon binder domain networks and electrical conductivity in lithium-ion battery electrodes: A critical review
In a drive to increase Li-ion battery energy density, as well as support faster charge
discharge speeds, electronic conductivity networks require increasingly efficient transport …
discharge speeds, electronic conductivity networks require increasingly efficient transport …
Multiscale dynamics of charging and plating in graphite electrodes coupling operando microscopy and phase-field modelling
The phase separation dynamics in graphitic anodes significantly affects lithium plating
propensity, which is the major degradation mechanism that impairs the safety and fast …
propensity, which is the major degradation mechanism that impairs the safety and fast …
Challenges and opportunities toward long-life lithium-ion batteries
In the backdrop of the carbon neutrality, lithium-ion batteries are being extensively employed
in electric vehicles (EVs) and energy storage stations (ESSs). Extremely harsh conditions …
in electric vehicles (EVs) and energy storage stations (ESSs). Extremely harsh conditions …
Emerging multiscale porous anodes toward fast charging lithium-ion batteries
G Zhu, D Luo, X Chen, J Yang, H Zhang - ACS nano, 2023 - ACS Publications
With the accelerated penetration of the global electric vehicle market, the demand for fast
charging lithium-ion batteries (LIBs) that enable improvement of user driving efficiency and …
charging lithium-ion batteries (LIBs) that enable improvement of user driving efficiency and …