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- open access
A hybrid modelling approach for reverse osmosis processes including fouling
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Hybrid models of dynamical systems : neural differential equations, Shapley value analysis and illustrations in water systems
(2023) -
Hybrid modelling of water resource recovery facilities : status and opportunities
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Hybrid differential equations : integrating mechanistic and data-driven techniques for modelling of water systems
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Integrated hybrid modelling of water resource recovery facilities by coupling mechanistic and data-driven ODE models
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Uncovering the hidden potential of online data in Reverse Osmosis : a data-driven model to predict fouling
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- Journal Article
- A1
- open access
Incorporating unmodeled dynamics into first-principles models through machine learning
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Coupling mechanistic and data-driven models by means of neural differential equations to incorporate unmodeled dynamics
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Combining mechanistic and data-driven techniques for predictive modelling of wastewater treatment plants
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Lattice-based versus lattice-free individual-based models : impact on coexistence in competitive communities