Julia Ling
According to our database1,
Julia Ling
authored at least 10 papers
between 2015 and 2020.
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Bibliography
2020
Turbulent scalar flux in inclined jets in crossflow: counter gradient transport and deep learning modelling.
CoRR, 2020
2019
J. Comput. Phys., 2019
Machine-learned metrics for predicting the likelihood of success in materials discovery.
CoRR, 2019
Assessing the Frontier: Active Learning, Model Accuracy, and Multi-objective Materials Discovery and Optimization.
CoRR, 2019
Generalization of machine-learned turbulent heat flux models applied to film cooling flows.
CoRR, 2019
2017
Building Data-driven Models with Microstructural Images: Generalization and Interpretability.
CoRR, 2017
Using feature importance metrics to detect events of interest in scientific computing applications.
Proceedings of the 7th IEEE Symposium on Large Data Analysis and Visualization, 2017
2016
J. Comput. Phys., 2016
2015
Using Machine Learning to Understand and Mitigate Model Form Uncertainty in Turbulence Models.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015