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001     1052354
005     20260123203315.0
024 7 _ |a 10.1016/j.mlwa.2025.100729
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024 7 _ |a 10.34734/FZJ-2026-00956
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037 _ _ |a FZJ-2026-00956
082 _ _ |a 004
100 1 _ |a Klemm, Carl Philipp
|0 0009-0000-2158-5528
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245 _ _ |a Machine-learning based Li-Ion Cell state prediction using Impedance spectroscopy
260 _ _ |a Amsterdam
|c 2025
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700 1 _ |a Frömling, Till
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773 _ _ |a 10.1016/j.mlwa.2025.100729
|g Vol. 22, p. 100729 -
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|t Machine learning with applications
|v 22
|y 2025
|x 2666-8270
856 4 _ |u https://juser.fz-juelich.de/record/1052354/files/1-s2.0-S2666827025001124-main.pdf
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913 1 _ |a DE-HGF
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|l Materialien und Technologien für die Energiewende (MTET)
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