Publication:

Glass transition temperature prediction in lignin polyurethanes using machine learning on small experimental dataset

Date

2026
Journal article
https://doi.org/10.1016/j.matdes.2026.116265
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cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.departmentee53fa57-629e-40d5-b433-6f4ba4220134
cris.virtualsource.orcidee53fa57-629e-40d5-b433-6f4ba4220134
dc.contributor.authorAcaru, Silviu Florin
dc.contributor.authorComi, Marc
dc.contributor.authorFalireas, Panagiotis
dc.contributor.authorVanpoucke, Danny
dc.contributor.authorVendamme, Richard
dc.contributor.authorBernaerts, Katrien, V
dc.date.accessioned2026-07-24T10:23:38Z
dc.date.available2026-07-24T10:23:38Z
dc.date.createdwos2026
dc.date.issued2026
dc.description.wosFundingTextThis work was supported by the Research Foundation - Flanders (FWO) , Belgium under grant G0E0223N digiLignin, funded by the European Union - NextGenerationEU.
dc.identifier.doi10.1016/j.matdes.2026.116265
dc.identifier.issn0264-1275
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/59979
dc.language.isoeng
dc.provenance.editstepusergreet.vanhoof@imec.be
dc.publisherELSEVIER SCI LTD
dc.source.beginpage116265
dc.source.journalMATERIALS & DESIGN
dc.source.numberofpages15
dc.source.volume267
dc.title

Glass transition temperature prediction in lignin polyurethanes using machine learning on small experimental dataset

dc.typeJournal article
dspace.entity.typePublication
imec.internal.crawledAt2026-07-14
imec.internal.sourcecrawler
imec.internal.wosCreatedAt2026-07-14
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