dr. ir. Florence Vermeire
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Machine learning for catalyst informatics : decoding the role of data
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A critical evaluation of the critical lines of water-hydrocarbon systems
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- Journal Article
- A1
- open access
A novel hybrid model for pyrolysis of polystyrene using the method of moments and low molecular component balances
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- Journal Article
- A1
- open access
Machine learning applications for thermochemical and kinetic property prediction
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- Journal Article
- A1
- open access
A critical review of the influence of supercritical water on the pyrolysis of plastic waste : modelling approaches and process effects
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Equations of state : the critical component of supercritical water-hydrocarbon mixtures
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Unlocking radical insights : integrating detailed kinetic modeling and method of moments for pyrolysis of polystyrene
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Modelling PS pyrolysis combining the Method of Moments and full chemistry simulations
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Steam cracking of methyl ester : a modeling study on the influence of the hydrocarbon backbone
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- Conference Paper
- C3
- open access
Using thermodynamic principles to enhance machine learning predictions of activation energy