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01/14/2020
Turbulent scalar flux in inclined jets in crossflow: counter gradient transport and deep learning modelling
A cylindrical and inclined jet in crossflow is studied under two distinc...
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11/25/2019
Machine-learned metrics for predicting the likelihood of success in materials discovery
Materials discovery is often compared to the challenge of finding a need...
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11/25/2019
Machine-learned metrics for predicting thelikelihood of success in materials discovery
Materials discovery is often compared to the challenge of finding a need...
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11/06/2019
Assessing the Frontier: Active Learning, Model Accuracy, and Multi-objective Materials Discovery and Optimization
Discovering novel materials can be greatly accelerated by iterative mach...
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10/07/2019
Generalization of machine-learned turbulent heat flux models applied to film cooling flows
The design of film cooling systems relies heavily on Reynolds-Averaged N...
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11/02/2017
Overcoming data scarcity with transfer learning
Despite increasing focus on data publication and discovery in materials ...
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11/01/2017
Building Data-driven Models with Microstructural Images: Generalization and Interpretability
As data-driven methods rise in popularity in materials science applicati...
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04/21/2017