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Found 3 papers, 2 papers with code
Transfer learning for predicting source terms of principal component transport in chemically reactive flow
The performance of the reduced-order model with a sparse dataset is found to be remarkably enhanced if the training of the ANN model is restricted by a regularization term that controls the degree of knowledge transfer from source to target tasks.
The Bearable Lightness of Big Data: Towards Massive Public Datasets in Scientific Machine Learning
To illustrate this point, we demonstrate that deep learning models, trained and tested on data from a petascale CFD simulation, are robust to errors introduced during lossy compression in a semantic segmentation problem.
Trigger detection for adaptive scientific workflows using percentile sampling
Our results will be used for dynamic workflow decisions about data storage and mesh resolution in future combustion simulations.
Computational Engineering, Finance, and Science Distributed, Parallel, and Cluster Computing Mathematical Software
