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Rapid modelling of reactive transport in porous media using machine learning: limitations and solutions.

, , , , , and . CoRR, (2024)

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Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network., , , and . CoRR, (2020)A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA)., , , , , , , and . PARCO, volume 36 of Advances in Parallel Computing, page 189-198. IOS Press, (2019)Nuclear Reactor Reactivity Prediction Using Feed Forward Artificial Neural Networks., , , , , , , and . ISNN (1), volume 5263 of Lecture Notes in Computer Science, page 400-409. Springer, (2008)Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19., , , and . CoRR, (2021)Data Assimilation in the Latent Space of a Neural Network., , , , , , , and . CoRR, (2020)Adaptive Domain Decomposition for Effective Data Assimilation., , , , , and . Euro-Par Workshops, volume 11997 of Lecture Notes in Computer Science, page 583-595. Springer, (2019)Solving the Discretised Neutron Diffusion Equations using Neural Networks., , , , and . CoRR, (2023)Hybrid Data Assimilation: An Ensemble-Variational Approach., , , , and . SITIS, page 633-640. IEEE, (2019)Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling Curves., , , and . CoRR, (2020)Weak Constraint Gaussian Processes for optimal sensor placement., , , , , and . J. Comput. Sci., (2020)