Electrochimica Acta
 2024
DOI: 10.1016/j.electacta.2023.143479
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Modelling of solid electrolyte interphase growth using neural ordinary differential equations

S. Ramasubramanian,
F. Schomburg,
F. Röder
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Cited by 3 publications
(1 citation statement)
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“…As shown recently, growth functions can be also identified with data driven models such as neural ordinary differential equations. 481…”
Section: Computer-aided Process Engineeringmentioning
confidence: 99%

Lithium-ion battery cell formation: status and future directions towards a knowledge-based process design

Schomburg,
Heidrich,
Wennemar
et al. 2024
Energy Environ. Sci.
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“…As shown recently, growth functions can be also identified with data driven models such as neural ordinary differential equations. 481…”
Section: Computer-aided Process Engineeringmentioning
confidence: 99%

Lithium-ion battery cell formation: status and future directions towards a knowledge-based process design

Schomburg,
Heidrich,
Wennemar
et al. 2024
Energy Environ. Sci.
Self Cite
15
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Unraveling the multilayer solid-electrolyte interphase in lithium batteries through depth-sensitive plasmon-enhanced Raman spectroscopy: A theoretical and experimental study

You,
Gu,
Yi
et al. 2024
Electrochimica Acta
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A grey-box model with neural ordinary differential equations for the slow voltage dynamics of lithium-ion batteries: Application to single-cell experiments

Brucker,
Gasper,
Bessler
2024
Journal of Power Sources
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