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hal.structure.identifierInstitut de Chimie de la Matière Condensée de Bordeaux [ICMCB]
dc.contributor.authorFACEIRA, Brandon
hal.structure.identifierInstitut de Chimie de la Matière Condensée de Bordeaux [ICMCB]
dc.contributor.authorTEULE-GAY, Lionel
hal.structure.identifierInstitut de la matière condensée et des nanosciences / Institute of Condensed Matter and Nanosciences [IMCN]
dc.contributor.authorRIGNANESE, Gian-Marco
dc.contributor.authorROUGIER, Aline
dc.date.issued2022
dc.identifier.issn1948-7185
dc.description.abstractEnWO3 is the state of the art of electrochromic oxide materials finding technological application in smart windows. In this work, a set of WO3 thin films were deposited by magnetron sputtering by varying total pressure, oxygen partial pressure and power. On each film two properties were measured, the electrochemical reversibility and the blue colour persistence of LixWO3 films in simulated ambient conditions. With the help of machine learning, prediction maps for such electrochromic properties namely colour persistence and reversibility were designed. High performance WO3 films were targeted by a global score which is the product of these two properties. The combined approach of experimental measurements and machine learning led to a complete picture of electrochromic properties depending of sputtering parameters providing an efficient tool in regards to time saving.
dc.language.isoen
dc.publisherAmerican Chemical Society
dc.title.enTowards the Prediction of Electrochromic Properties of WO3 Films: Combination of Experimental and Machine Learning Approaches
dc.typeArticle de revue
dc.identifier.doi10.1021/acs.jpclett.2c02248
dc.subject.halChimie/Matériaux
bordeaux.journalJournal of Physical Chemistry Letters
bordeaux.page8111-8115
bordeaux.volume13
bordeaux.issue34
bordeaux.peerReviewedoui
hal.identifierhal-03763753
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03763753v1
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