Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/42632
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dc.contributor.authorPICCARD, Pieter-Jan-
dc.contributor.authorBorges, Pedro-
dc.contributor.authorCLEUREN, Bart-
dc.contributor.authorBuekenhoudt, Anita-
dc.contributor.authorHOOYBERGHS, Jef-
dc.date.accessioned2024-03-13T09:51:11Z-
dc.date.available2024-03-13T09:51:11Z-
dc.date.issued2023-
dc.date.submitted2024-03-11T13:52:30Z-
dc.identifier.citationData Science Hub Lustrum Symposium, VITO, Mol, Belgium, 10th of November, 2023-
dc.identifier.issn-
dc.identifier.urihttp://hdl.handle.net/1942/42632-
dc.description.abstractMembranes are powerful, versatile separation tools, offering an energy lean alternative for traditional thermal separation methods. However, due to the complexity of this membrane process, influenced by all mutual solute-solvent-membrane interactions and properties, the transport mechanism is not well understood. This leads to a slow, trial-and-error based development process. To speed up the development process, and to try and understand the separation mechanism, we resort to data science.-
dc.language.isoen-
dc.publisher-
dc.subject.otherorganic solvent nanofiltration-
dc.subject.otherdata science-
dc.subject.othermathematical modeling-
dc.subject.othermachine learning-
dc.subject.otherdata standardization-
dc.titleOrganic Solvent Nanofiltration and Data-Driven Approaches-
dc.typeConference Material-
local.bibliographicCitation.conferencedate10th of November, 2023-
local.bibliographicCitation.conferencenameData Science Hub Lustrum Symposium-
local.bibliographicCitation.conferenceplaceVITO, Mol, Belgium-
local.bibliographicCitation.jcatC2-
dc.relation.referencesP.-J. Piccard et al., Separations 2023, doi: 10.3390/separations10090516-
local.type.refereedRefereed-
local.type.specifiedConference Poster-
local.provider.typePdf-
local.uhasselt.internationalno-
item.accessRightsOpen Access-
item.fullcitationPICCARD, Pieter-Jan; Borges, Pedro; CLEUREN, Bart; Buekenhoudt, Anita & HOOYBERGHS, Jef (2023) Organic Solvent Nanofiltration and Data-Driven Approaches. In: Data Science Hub Lustrum Symposium, VITO, Mol, Belgium, 10th of November, 2023.-
item.fulltextWith Fulltext-
item.contributorPICCARD, Pieter-Jan-
item.contributorBorges, Pedro-
item.contributorCLEUREN, Bart-
item.contributorBuekenhoudt, Anita-
item.contributorHOOYBERGHS, Jef-
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