2 citations · 2 across the 1 of their papers we have counts for
4 papers
Stochastic 3D reconstruction of cracked polycrystalline NMC particles using 2D SEM data
Philipp Rieder, Orkun Furat, Francois L. E. Usseglio-Viretta +5
Li-ion battery performance is strongly influenced by their cathodes' properties and consequently by the 3D microstructure of the particles the cathodes are comprised of. During cal…
Generating multi-scale NMC particles with radial grain architectures using spatial stochastics and GANs
Lukas Fuchs, Orkun Furat, Donal P. Finegan +6
Understanding structure-property relationships of Li-ion battery cathodes is crucial for optimizing rate-performance and cycle-life resilience. However, correlating the morphology…
PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model
Malik Hassanaly, Peter J. Weddle, Ryan N. King +6
Bayesian parameter inference is useful to improve Li-ion battery diagnostics and can help formulate battery aging models. However, it is computationally intensive and cannot be eas…
PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model
Malik Hassanaly, Peter J. Weddle, Ryan N. King +6
To plan and optimize energy storage demands that account for Li-ion battery aging dynamics, techniques need to be developed to diagnose battery internal states accurately and rapid…