On the use of machine learning for predicting femtosecond laser grooves in tribological applications

Moles, Luis; Llavori Osa, Iñigo; Aginagalde Lopez, Andrea; Echegaray, Goretti; Bruneel, David; Boto, Fernando; Zabala Eguren, Alaitz

dc.rights.license	Attribution-NonCommercial 4.0 International
dc.contributor.author	Moles, Luis
dc.contributor.author	Llavori Osa, Iñigo
dc.contributor.author	Aginagalde Lopez, Andrea
dc.contributor.author	Echegaray, Goretti
dc.contributor.author	Bruneel, David
dc.contributor.author	Boto, Fernando
dc.contributor.author	Zabala Eguren, Alaitz
dc.date.accessioned	2026-04-09T10:39:10Z
dc.date.available	2026-04-09T10:39:10Z
dc.date.issued	2024
dc.identifier.issn	0301-679X
dc.identifier.other	https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=178123
dc.identifier.uri	http://hdl.handle.net/20.500.11984/15066
dc.format.extent	p.
dc.language.iso	eng
dc.publisher	Elsevier
dc.rights	© 2024
dc.rights.uri	https://creativecommons.org/licenses/by-nc/4.0/
dc.title	On the use of machine learning for predicting femtosecond laser grooves in tribological applications
dcterms.accessRights	http://purl.org/coar/access_right/c_abf2
dcterms.source	Tribology International
local.contributor.group	Tecnologías de superficies
local.description.peerreviewed	true
local.identifier.doi	https://doi.org/10.1016/j.triboint.2024.110067
local.contributor.otherinstitution	https://ror.org/02fv8hj62
local.contributor.otherinstitution	https://ror.org/000xsnr85
local.contributor.otherinstitution	https://ror.org/00wvqgd19
local.source.details	Vol. 200. N. art. 110067, 2024
oaire.format.mimetype	application/pdf
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oaire.resourceType	http://purl.org/coar/resource_type/c_6501
oaire.version	http://purl.org/coar/version/c_970fb48d4fbd8a85
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dc.unesco.clasificacion	http://skos.um.es/unesco6/3312