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Julia Ling

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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

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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

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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

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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

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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

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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

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