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PIDyNN - A Collection of Physics-Enhanced Neural Networks for Dynamics Systems
dc.contributor.author
Haywood-Alexander, Marcus
dc.date.accessioned
2024-07-16T14:25:44Z
dc.date.available
2024-07-16T14:25:44Z
dc.date.issued
2024
dc.identifier.uri
http://hdl.handle.net/20.500.11850/683329
dc.language.iso
en
en_US
dc.rights.uri
https://opensource.org/licenses/MIT
dc.title
PIDyNN - A Collection of Physics-Enhanced Neural Networks for Dynamics Systems
en_US
dc.type
Software
dc.rights.license
MIT License
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02605 - Institut für Baustatik u. Konstruktion / Institute of Structural Engineering::03890 - Chatzi, Eleni / Chatzi, Eleni
en_US
ethz.date.deposited
2024-07-16T14:25:44Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.rosetta.exportRequired
true
ethz.COinS
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