Projecten per jaar
Vingerafdruk
Verdiep u in de onderzoeksgebieden waarop Vincent Vangrunderbeek actief is. Deze onderwerplabels komen uit het werk van deze persoon. Samen vormen ze een unieke vingerafdruk.
- 1 Soortgelijke profielen
Samenwerkingen en hoofdonderzoeksgebieden uit de afgelopen vijf jaar
Recente externe samenwerking op landen-/regioniveau. Duik in de details door op de stippen te klikken of
Projecten
- 1 Actief
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FWOSB166: Lange termijn voorspelling van atmosferische corrosieschade op basis van machinaal leren
Vangrunderbeek, V. (Mandataris), Mamme, M. H. (Administrative Promotor), Hubin, A. (Administrative Promotor), Terryn, H. (CoI (Co-Promotor)) & Van Ingelgem, Y. (CoI (Co-Promotor))
1/11/23 → 31/10/27
Project: Fundamenteel
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Corrosion and environmental sensor response delays during monitored multi-droplet wetting: Unraveling time lags in atmospheric corrosion
Vangrunderbeek, V., Zhang, K., Bertolucci Coelho, L., Friedersdorf, F., Marshall, R., Gonzalez-Garcia, Y., Meeusen, M., Hubin, A., Terryn, H. & Mamme, M. H., okt. 2025, In: Corrosion Science. 255, 113154, blz. 1-10 10 blz., 113154.Onderzoeksoutput: Article › peer review
Open AccessBestand2 Citaten (Scopus)2 Downloads (Pure) -
Estimating pitting descriptors of 316 L stainless steel by machine learning and statistical analysis
Coelho, L. B., Torres Morillo, D., Vangrunderbeek, V., Bernal, M., Paldino, G. M., Bontempi, G. & Ustarroz, J., dec. 2023, In: npj Materials Degradation. 7, 1, 15 blz., 82.Onderzoeksoutput: Article › peer review
Open AccessBestand16 Citaten (Scopus)63 Downloads (Pure) -
Exploring the potential of transfer learning in extrapolating accelerated corrosion test data for long-term atmospheric corrosion forecasting
Vangrunderbeek, V., Coelho, L. B., Zhang, D., Li, Y., Van Ingelgem, Y. & Terryn, H., dec. 2023, In: Corrosion Science. 225, 11 blz., 111619.Onderzoeksoutput: Article › peer review
Open Access18 Citaten (Scopus) -
Reviewing machine learning of corrosion prediction in a data-oriented perspective
Vangrunderbeek, V., Bertolucci Coelho, L., Van Ingelgem, Y., Terryn, H., Nowe, A., Steckelmacher, D. & Zhang, D., dec. 2022, Reviewing machine learning of corrosion prediction in a data-oriented perspective. 1 uitgave npj materials degradation, Vol. 6. blz. 56-72 1 blz. (npj Materials Degradation).Onderzoeksoutput: Conference paper
Open Access171 Citaten (Scopus)
Prijzen
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EUROCORR 2024 Best oral presentation award
Vangrunderbeek, V. (Recipient), 4 sep. 2024
Prijs: Prize (including medals and awards)
Bestand
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London: Nature Portfolio (Uitgeverij/uitgevend instituut)
Vangrunderbeek, V. (Peer reviewer)
3 jul. 2025Activiteit: Publication peer-review
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Understanding the crucial role of electrolyte behavior in the performance of atmospheric corrosion sensors
Vangrunderbeek, V. (Speaker)
7 sep. 2025 → 11 sep. 2025Activiteit: Talk or presentation at a conference
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Towards predicting Atmospheric Corrosion Through Knowledge Sharing Strategies in Machine Learning
Vangrunderbeek, V. (Speaker)
1 sep. 2024 → 5 sep. 2024Activiteit: Talk or presentation at a conference
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Deep transfer learning leveraging the prediction of atmospheric corrosion monitor sensors
Vangrunderbeek, V. (Speaker)
27 aug. 2023 → 31 aug. 2023Activiteit: Talk or presentation at a conference
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A data-centric review on machine learning of corrosion prediction
Vangrunderbeek, V. (Speaker)
1 sep. 2022Activiteit: Talk or presentation at a conference
Scriptie
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The investigation of the reversibility of the "green" rare earth carboxylate corrosion inhibitor La(4-OHcin)3 on mild steel through an experimental and multi-scale computational approach
Vangrunderbeek, V. ((PhD) Student), Mamme, M. H. (Co-promotor) & Terryn, H. ((PhD) Student), 4 jun. 2020Scriptie/Masterproef: Master's Thesis