Projects per year
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Collaborations and top research areas from the last five years
Projects
- 1 Active
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FWOSB166: Predictive machine learning of the long-term atmospheric corrosion damage
Vangrunderbeek, V. (Mandate), 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: Fundamental
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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., Oct 2025, In: Corrosion Science. 255, 113154, p. 1-10 10 p., 113154.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
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 p., 82.Research output: Contribution to journal › Article › peer-review
Open AccessFile16 Citations (Scopus)67 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 p., 111619.Research output: Contribution to journal › Article › peer-review
Open Access18 Citations (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 ed. npj materials degradation, Vol. 6. p. 56-72 1 p. (npj Materials Degradation).Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open Access171 Citations (Scopus)
Prizes
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EUROCORR 2024 Best oral presentation award
Vangrunderbeek, Vincent (Recipient), 4 Sept 2024
Prize: Prize (including medals and awards)
File
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Understanding the crucial role of electrolyte behavior in the performance of atmospheric corrosion sensors
Vangrunderbeek, V. (Speaker)
7 Sept 2025 → 11 Sept 2025Activity: Talk or presentation › Talk or presentation at a conference
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London: Nature Portfolio (Publisher)
Vangrunderbeek, V. (Peer reviewer)
3 Jul 2025Activity: Publication peer-review and editorial work › Publication peer-review
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Towards predicting Atmospheric Corrosion Through Knowledge Sharing Strategies in Machine Learning
Vangrunderbeek, V. (Speaker)
1 Sept 2024 → 5 Sept 2024Activity: Talk or presentation › 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 2023Activity: Talk or presentation › Talk or presentation at a conference
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A data-centric review on machine learning of corrosion prediction
Vangrunderbeek, V. (Speaker)
1 Sept 2022Activity: Talk or presentation › Talk or presentation at a conference
Thesis
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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
Author: Vangrunderbeek, V., Mamme, M. H. & Terryn, H., 4 Jun 2020Student thesis: Master's Thesis