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Dataset of "PEMFC performance decay during real-world automotive operation: evincing degradation mechanisms and heterogeneity of ageing"

Name: Dataset of "PEMFC performance decay during real-world automotive operation: evincing degradation mechanisms and heterogeneity of ageing"
Keywords: Automotive, Dynamic load cycle, Catalyst layer durability, Degradation mechanism, Polymer Electrolyte Membrane Fuel Cell, Local degradation

Research datakeyboard_double_arrow_right Dataset 18 Oct 2022Publisher:ZenodoFunded by:EC | ID-FAST

Authors: Colombo Elena; Baricci Andrea; Bisello Andrea; Guetaz Laure; Casalegno Andrea;

doi: 10.5281/zenodo.7054554 , 10.5281/zenodo.7054555

Dataset of "PEMFC performance decay during real-world automotive operation: evincing degradation mechanisms and heterogeneity of ageing"

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Abstract

This is the underlying dataset of "PEMFC performance decay during real-world automotive operation: evincing degradation mechanisms and heterogeneity of ageing"

Related Organizations

Polytechnic University of Milan
Italy
Grenoble Alpes University
France

Keywords

Automotive, Dynamic load cycle, Catalyst layer durability, Degradation mechanism, Polymer Electrolyte Membrane Fuel Cell, Local degradation

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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Funded by

EC| ID-FAST