Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/142749
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dc.contributor.advisorEstradé Albiol, Sònia-
dc.contributor.advisorBlanco Portals, Javier-
dc.contributor.authorSospedra Ramírez, Joan-
dc.date.accessioned2019-10-22T16:15:59Z-
dc.date.available2019-10-22T16:15:59Z-
dc.date.issued2019-07-
dc.identifier.urihttp://hdl.handle.net/2445/142749-
dc.descriptionMàster en Nanociència i Nanotecnologia, Facultat de Física, Universitat de Barcelona, Curs: 2018-2019. Tutors: Sònia Estradé Albiol, Javier Blanco Portalsca
dc.description.abstractIn this work a sample of iron oxide nanoparticles is studied with a variety of techniques. In order to map its oxidation states, a characterization through indexing its crystallographic structure is attempted, but it is an EELS big data treatment through model creation of individual components in conjunction with clustering what will ultimately reveal a distribution map of different oxidation states across the sampleca
dc.format.extent10 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoengca
dc.rightscc-by-nc-nd (c) Sospedra, 2019cat
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.sourceMàster Oficial - Nanociència i Nanotecnologia-
dc.subject.classificationEspectroscòpia de pèrdua d'energia d'electronscat
dc.subject.classificationMetalls de transiciócat
dc.subject.classificationTreballs de fi de màstercat
dc.subject.otherElectron energy loss spectroscopyeng
dc.subject.otherTransition metalseng
dc.subject.otherMaster's theseseng
dc.titleEELS techniques towards characterizing and mapping iron valence states in iron oxide sampleseng
dc.typeinfo:eu-repo/semantics/masterThesisca
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
Appears in Collections:Màster Oficial - Nanociència i Nanotecnologia

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