Maarten R. Dobbelaere

Machine Learning in Chemical Engineering: Strengths, Weaknesses, Opportunities, and Threats

Maarten R. Dobbelaere, Pieter Plehiers, Ruben Van de Vijver et al. · Engineering · 2021 · 289 citations · Full text

Machine Learning for Physicochemical Property Prediction of Complex Hydrocarbon Mixtures

Maarten R. Dobbelaere, Yannick Ureel, Florence H. Vermeire et al. · Industrial & Engineering Chemistry Research · 2022 · 44 citations · Full text

Engineering, Machine Learning, Data Science +14

Bayesian tuned kinetic Monte Carlo modeling of polystyrene pyrolysis: Unraveling the pathways to its monomer, dimers, and trimers formation

Onur Dogu, Andreas Eschenbacher, Robin John Varghese et al. · Chemical Engineering Journal · 2022 · 39 citations · Full text

Materials Science, Engineering, Analytical Pyrolysis +12

Active learning-based exploration of the catalytic pyrolysis of plastic waste

Yannick Ureel, Maarten R. Dobbelaere, Oğuzhan Akin et al. · Fuel · 2022 · 33 citations · Full text

Process Design, Chemical Engineering, Engineering +8

Speeding up turbulent reactive flow simulation via a deep artificial neural network: A methodology study

Yi Ouyang, Laurien A. Vandewalle, Lin Chen et al. · Chemical Engineering Journal · 2021 · 32 citations · Full text

Unsteady Flow, Engineering, Aerospace Engineering +9