223 citations · 225 across the 4 of their papers we have counts for
5 papers
Enhancing EBSD throughput of battery electrode materials using super-resolution generative adversarial networks
John Mangum, Andrew Glaws, Francois Usseglio-Viretta +2
Quantitative microstructural characterization of Li-ion battery electrode materials using electron backscatter diffraction (EBSD) has been proven as a critical method for optimizin…
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…
Principles of the Battery Data Genome
Logan Ward, Susan Babinec, Eric J. Dufek +24
Electrochemical energy storage is central to modern society -- from consumer electronics to electrified transportation and the power grid. It is no longer just a convenience but a…
Bridging Nano and Micro-scale X-ray Tomography for Battery Research by Leveraging Artificial Intelligence
Jonathan Scharf, Mehdi Chouchane, Donal P. Finegan +11
X-ray Computed Tomography (X-ray CT) is a well-known non-destructive imaging technique where contrast originates from the materials' absorption coefficients. Novel battery characte…