Talk (non-conference) (Other) FZJ-2023-05722

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Modelling the degradation behaviour of Solid Oxide Cell stacks using machine learning methods

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2023

IEK-9 PhD Seminar, Sci&Ski, RWTH AachenStein, RWTH Aachen, Netherlands, 20 Mar 2023 - 23 Mar 20232023-03-202023-03-23

Keyword(s): Energy (1st)


Contributing Institute(s):
  1. Grundlagen der Elektrochemie (IEK-9)
Research Program(s):
  1. 1231 - Electrochemistry for Hydrogen (POF4-123) (POF4-123)
  2. HITEC - Helmholtz Interdisciplinary Doctoral Training in Energy and Climate Research (HITEC) (HITEC-20170406) (HITEC-20170406)

Appears in the scientific report 2023
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The record appears in these collections:
Document types > Presentations > Talks (non-conference)
Institute Collections > IET > IET-1
Workflow collections > Public records
IEK > IEK-9
Publications database

 Record created 2023-12-20, last modified 2024-07-09



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