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dc.contributor.authorKauppinen, Minttu M.
dc.contributor.authorSzlapa, Ewa N.
dc.contributor.authorGonzález, Escobedo José Luis
dc.contributor.authorPuurunen, Riikka L.
dc.contributor.authorHonkala, Karoliina
dc.date.accessioned2024-11-08T10:00:33Z
dc.date.available2024-11-08T10:00:33Z
dc.date.issued2025
dc.identifier.citationKauppinen, M. M., Szlapa, E. N., González, E. J. L., Puurunen, R. L., & Honkala, K. (2025). Computational insight into the selectivity of γ-valerolactone hydrodeoxygenation over Rh(111) and Ru(0001). <i>Surface Science</i>, <i>751</i>, Article 122624. <a href="https://doi.org/10.1016/j.susc.2024.122624" target="_blank">https://doi.org/10.1016/j.susc.2024.122624</a>
dc.identifier.otherCONVID_243589803
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/98222
dc.description.abstractThe observed difference in the selectivity towards alkane, ketone, and alcohol hydrodeoxygenation products over Ru and Rh catalysts is explored using a combination of density functional theory and microkinetics. Using γ-valerolactone as a model compound, we investigate the reaction mechanism in order to identify selectivity determining species. The effect of the coadsorbed water molecule as well as the higher adsorbate surface coverage on reaction barriers and energies is explored as well. The performed calculations suggest that the desired alkane product is formed from a ketone intermediate on Ru, and through both ketone and alcohol on Rh, although the selectivity towars alkane on Rh is much lower than on Ru.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofseriesSurface Science
dc.rightsCC BY 4.0
dc.subject.otherbiomass
dc.subject.otherdensity-functional theory
dc.subject.otherhydrodeoxygenation
dc.subject.otherhydrocarbons
dc.subject.othermicrokinetic analysis
dc.subject.otherγ-valerolactone
dc.subject.otherselectivity
dc.subject.othercoverage
dc.titleComputational insight into the selectivity of γ-valerolactone hydrodeoxygenation over Rh(111) and Ru(0001)
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202411087070
dc.contributor.laitosKemian laitosfi
dc.contributor.laitosDepartment of Chemistryen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn0039-6028
dc.relation.volume751
dc.type.versionpublishedVersion
dc.rights.copyright© 2024 The Authors. Published by Elsevier B.V.
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber307623
dc.subject.ysotiheysfunktionaaliteoria
dc.subject.ysobiomassa (teollisuus)
dc.subject.ysovalikoivuus
dc.subject.ysokatalyytit
dc.subject.ysohiilivedyt
dc.subject.ysopeittävyys
dc.subject.ysolaskennallinen kemia
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p28852
jyx.subject.urihttp://www.yso.fi/onto/yso/p6170
jyx.subject.urihttp://www.yso.fi/onto/yso/p22549
jyx.subject.urihttp://www.yso.fi/onto/yso/p15480
jyx.subject.urihttp://www.yso.fi/onto/yso/p1169
jyx.subject.urihttp://www.yso.fi/onto/yso/p24163
jyx.subject.urihttp://www.yso.fi/onto/yso/p23053
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.datasethttps://doi.org/10.23729/ea2e013c-52ac-49d3-9c70-106b49e98920
dc.relation.doi10.1016/j.susc.2024.122624
dc.relation.funderResearch Council of Finlanden
dc.relation.funderSuomen Akatemiafi
jyx.fundingprogramAcademy Programme, AoFen
jyx.fundingprogramAkatemiaohjelma, SAfi
jyx.fundinginformationThe computational work was funded by Research Council of Finland (307623) and University of Jyväskylä. The electronic structure calculations were made possible by the computational resources provided by the CSC — IT Center for Science, Espoo, Finland (https://www.csc.fi/en/) and FGCI. The experiments on which this work is based (Supporting Information) were funded by Neste Corporation. J. L. G. E. acknowledges funding from Fortum Foundation (number 201800142) and from the Finnish Foundation for Technology Promotion (number 6712).
dc.type.okmA1


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