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http://hdl.handle.net/1942/42632
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DC Field | Value | Language |
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dc.contributor.author | PICCARD, Pieter-Jan | - |
dc.contributor.author | Borges, Pedro | - |
dc.contributor.author | CLEUREN, Bart | - |
dc.contributor.author | Buekenhoudt, Anita | - |
dc.contributor.author | HOOYBERGHS, Jef | - |
dc.date.accessioned | 2024-03-13T09:51:11Z | - |
dc.date.available | 2024-03-13T09:51:11Z | - |
dc.date.issued | 2023 | - |
dc.date.submitted | 2024-03-11T13:52:30Z | - |
dc.identifier.citation | Data Science Hub Lustrum Symposium, VITO, Mol, Belgium, 10th of November, 2023 | - |
dc.identifier.issn | - | |
dc.identifier.uri | http://hdl.handle.net/1942/42632 | - |
dc.description.abstract | Membranes 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.iso | en | - |
dc.publisher | - | |
dc.subject.other | organic solvent nanofiltration | - |
dc.subject.other | data science | - |
dc.subject.other | mathematical modeling | - |
dc.subject.other | machine learning | - |
dc.subject.other | data standardization | - |
dc.title | Organic Solvent Nanofiltration and Data-Driven Approaches | - |
dc.type | Conference Material | - |
local.bibliographicCitation.conferencedate | 10th of November, 2023 | - |
local.bibliographicCitation.conferencename | Data Science Hub Lustrum Symposium | - |
local.bibliographicCitation.conferenceplace | VITO, Mol, Belgium | - |
local.bibliographicCitation.jcat | C2 | - |
dc.relation.references | P.-J. Piccard et al., Separations 2023, doi: 10.3390/separations10090516 | - |
local.type.refereed | Refereed | - |
local.type.specified | Conference Poster | - |
local.provider.type | - | |
local.uhasselt.international | no | - |
item.accessRights | Open Access | - |
item.fullcitation | PICCARD, 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.fulltext | With Fulltext | - |
item.contributor | PICCARD, Pieter-Jan | - |
item.contributor | Borges, Pedro | - |
item.contributor | CLEUREN, Bart | - |
item.contributor | Buekenhoudt, Anita | - |
item.contributor | HOOYBERGHS, Jef | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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Poster Pieter-Jan.pdf | Conference material | 822.47 kB | Adobe PDF | View/Open |
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