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Turbulent scalar flux in inclined jets in crossflow: counter gradient transport and deep learning modelling


Jan 14, 2020
Pedro M. Milani, Julia Ling, John K. Eaton

* 26 pages, 16 figures. Submitted for review to the Journal of Fluid Mechanics 

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Machine-learned metrics for predicting the likelihood of success in materials discovery


Nov 27, 2019
Yoolhee Kim, Edward Kim, Erin Antono, Bryce Meredig, Julia Ling

* 13 pages, 10 figures, 2 tables 

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Machine-learned metrics for predicting thelikelihood of success in materials discovery


Nov 25, 2019
Yoolhee Kim, Edward Kim, Erin Antono, Bryce Meredig, Julia Ling

* 13 pages, 10 figures, 2 tables 

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Assessing the Frontier: Active Learning, Model Accuracy, and Multi-objective Materials Discovery and Optimization


Nov 06, 2019
Zachary del Rosario, Yoolhee Kim, Matthias Rupp, Erin Antono, Julia Ling

* 19 pages, 24 figures 

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Generalization of machine-learned turbulent heat flux models applied to film cooling flows


Oct 07, 2019
Pedro M. Milani, Julia Ling, John K. Eaton

* Presented at ASME Turbo Expo 2019, accepted to the Journal of Turbomachinery 

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Overcoming data scarcity with transfer learning


Nov 02, 2017
Maxwell L. Hutchinson, Erin Antono, Brenna M. Gibbons, Sean Paradiso, Julia Ling, Bryce Meredig


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Building Data-driven Models with Microstructural Images: Generalization and Interpretability


Nov 01, 2017
Julia Ling, Maxwell Hutchinson, Erin Antono, Brian DeCost, Elizabeth A. Holm, Bryce Meredig


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High-Dimensional Materials and Process Optimization using Data-driven Experimental Design with Well-Calibrated Uncertainty Estimates


Jul 04, 2017
Julia Ling, Max Hutchinson, Erin Antono, Sean Paradiso, Bryce Meredig

* Integrating Materials and Manufacturing Innovation, (2017) 

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