Parameter Identification in Magnetorheological Dampers via Physics-Informed Neural Networks

Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/31354

Full metadata record

DC Field	Value	Language
dc.contributor.author	Wu Y	-
dc.contributor.author	Sicard B	-
dc.contributor.author	Kosierb P	-
dc.contributor.author	Gadsden SA	-
dc.date.accessioned	2025-03-03T22:52:51Z	-
dc.date.available	2025-03-03T22:52:51Z	-
dc.date.issued	2025	-
dc.identifier.uri	http://hdl.handle.net/11375/31354	-
dc.publisher	Springer Nature	-
dc.subject	46 Information and Computing Sciences	-
dc.subject	40 Engineering	-
dc.subject	4611 Machine Learning	-
dc.subject	Networking and Information Technology R&D (NITRD)	-
dc.subject	Machine Learning and Artificial Intelligence	-
dc.title	Parameter Identification in Magnetorheological Dampers via Physics-Informed Neural Networks	-
dc.type	Article	-
dc.date.updated	2025-03-03T22:52:51Z	-
dc.contributor.department	Mechanical Engineering	-
dc.identifier.doi	https://doi.org/10.1007/978-981-97-4780-1_13	-
Appears in Collections:	Mechanical Engineering Publications

Files in This Item:

File	Description	Size	Format
191-IEMTRONICSmrpinn.pdf Open Access	Published version	2.42 MB	Adobe PDF	View/Open