Onderzoeker
Deirdre Cabooter
- Trefwoorden:Overige technische wetenschappen
- Disciplines:Chemie
Affiliaties
- Centrum voor Moleculaire Separatiewetenschap en -Technologie (Onderzoeksgroep)
Lid
Vanaf1 jan 2009 → 30 sep 2011 - Chemische Ingenieurstechnieken en Industriele Scheikunde (Departement)
Lid
Vanaf1 sep 2005 → 30 sep 2011
Projecten
1 - 1 of 1
- Studie van de effecten van ultra hoge drukken toegepast op een automatisch kolom koppeling systeem ontwikkeld om methode ontwikkeling te verbeteren.Vanaf1 jan 2011 → 31 dec 2011Financiering: FWO Krediet aan Navorser
Publicaties
1 - 10 van 39
- A perspective on the use of deep deterministic policy gradient reinforcement learning for retention time modeling in reversed-phase liquid chromatography(2024)
Auteurs: Alexander Kensert, Gert Desmet, Deirdre Cabooter
- In-Depth Performance Analysis and Comparison of Monolithic and Particulate Zwitterionic Hydrophilic Interaction Liquid Chromatography Polymer Columns(2023)
Auteurs: Haibin Li, Zhengjin Jiang, Gert Desmet, Deirdre Cabooter
- On the occurrence of very low intra-particle diffusion rates in zwitterionic hydrophilic interaction liquid chromatography polymer columns(2022)
Auteurs: Haibin Li, Gert Desmet, Zhengjin Jiang, Deirdre Cabooter
- Review of recent insights in the measurement and modelling of the B-term dispersion and related mass transfer properties in liquid chromatography(2022)
Auteurs: Gert Desmet, Ken Broeckhoven, Sander Deridder, Deirdre Cabooter
- Convolutional neural network for automated peak detection in reversed-phase liquid chromatography(2022)
Auteurs: Alexander Kensert, Emery Bosten, Gilles Collaerts, Kyriakos Efthymiadis, Peter Van Broeck, Gert Desmet, Deirdre Cabooter
- Taylor-Aris methodology for the experimental determination of molecular diffusion coefficients(2022)
Auteurs: Donatela Sadriaj, Gert Desmet, Deirdre Cabooter
- Developing machine learning algorithms for chromatographic method development(2022)
Auteurs: Alexander Kensert, Deirdre Cabooter, Gert Desmet
Aantal pagina's: 160 - Graph Convolutional Networks for Improved Prediction and Interpretability of Chromatographic Retention Data(2021)
Auteurs: Alexander Kensert, Robbin Bouwmeester, Kyriakos Efthymiadis, Peter Van Broeck, Gert Desmet, Deirdre Cabooter
Pagina's: 15633-15641 - Detailed numerical analysis of the effect of radial column heterogeneities on peak parking experiments with slowly diffusing analytes(2021)
Auteurs: Bram Huygens, Huiying Song, Deirdre Cabooter, Gert Desmet
- Deep convolutional autoencoder for the simultaneous removal of baseline noise and baseline drift in chromatograms(2021)
Auteurs: Alexander Kensert, Gilles Collaerts, Kyriakos Efthymiadis, Peter Van Broeck, Gert Desmet, Deirdre Cabooter