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http://hdl.handle.net/1942/42632
Title: | Organic Solvent Nanofiltration and Data-Driven Approaches | Authors: | PICCARD, Pieter-Jan Borges, Pedro CLEUREN, Bart Buekenhoudt, Anita HOOYBERGHS, Jef |
Issue Date: | 2023 | Publisher: | Source: | Data Science Hub Lustrum Symposium, VITO, Mol, Belgium, 10th of November, 2023 | 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. | Keywords: | organic solvent nanofiltration;data science;mathematical modeling;machine learning;data standardization | Document URI: | http://hdl.handle.net/1942/42632 | Category: | C2 | Type: | Conference Material |
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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