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Enhanced multi-fidelity modelling for digital twin and uncertainty quantification
Data-driven models play a crucial role in digital twins, enabling real-time updates and predictions by leveraging data and computational models.
Physics informed WNO
Deep neural operators are recognized as an effective tool for learning solution operators of complex partial differential equations (PDEs).
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