Maarten Dobbelaere
- Work address
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Technologiepark Zwijnaarde 121
9052 Zwijnaarde - mrodobbe.Dobbelaere@UGent.be
- ORCID iD
-
0000-0002-8977-8569
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Bayesian tuned kinetic Monte Carlo modeling of polystyrene pyrolysis : unraveling the pathways to its monomer, dimers, and trimers formation
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Design of sustainable pharmaceutical processes with artificial intelligence
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- Conference Paper
- C3
- open access
On the relevance of molecular machine learning in industrial chemistry
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- Conference Paper
- C3
- open access
Exploration of catalytic pyrolysis with active learning
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- Journal Article
- A1
- open access
Active learning-based exploration of the catalytic pyrolysis of plastic waste
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- Journal Article
- A1
- open access
Machine learning for physicochemical property prediction of complex hydrocarbon mixtures
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- Journal Article
- A1
- open access
Speeding up turbulent reactive flow simulation via a deep artificial neural network : a methodology study
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- Journal Article
- A1
- open access
Machine learning in chemical engineering : strengths, weaknesses, opportunities, and threats
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Learning molecular representations for thermochemistry prediction of cyclic hydrocarbons and oxygenates
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- Journal Article
- A2
- open access
Artificial intelligence for computer-aided synthesis in flow : analysis and selection of reaction components