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dc.contributor.author
Howey, David A.
dc.contributor.author
Roberts, Scott A.
dc.contributor.author
Viswanathan, Venkatasubramanian
dc.contributor.author
Mistry, Aashutosh N.
dc.contributor.author
Beuse, Martin
dc.contributor.author
Khoo, Edwin
dc.contributor.author
DeCaluwe, Steven C.
dc.contributor.author
Sulzer, Valentin
dc.date.accessioned
2021-01-18T15:20:26Z
dc.date.available
2021-01-15T05:07:20Z
dc.date.available
2021-01-18T15:20:26Z
dc.date.issued
2020-12
dc.identifier.other
10.1149/2.F03204IF
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/462792
dc.description.abstract
Mathematical modeling to understand battery performance has a history of more than 50 years. The essence of modeling is to make predictions, as is the case across all scientific disciplines; indeed, we can think of models as hypotheses or theories to be tested against experimental data. Models allow us to interpolate between and extrapolate from points in data; without them, a new experiment would need to be run for every use case of a battery.
en_US
dc.language.iso
en
en_US
dc.publisher
IOP Publishing
dc.title
Free Radicals: Making a Case for Battery Modeling
en_US
dc.type
Journal Article
ethz.journal.title
Electrochemical Society Interface
ethz.journal.volume
29
en_US
ethz.journal.issue
4
en_US
ethz.pages.start
30
en_US
ethz.pages.end
34
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.status
published
en_US
ethz.date.deposited
2021-01-15T05:07:25Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2021-01-18T15:20:35Z
ethz.rosetta.lastUpdated
2024-02-02T12:54:07Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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