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S. Karra

A Comparative Study of Machine Learning Models for Predicting the State of Reactive Mixing

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Feb 24, 2020
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Physics-Informed Machine Learning Models for Predicting the Progress of Reactive-Mixing

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Aug 28, 2019
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Using Machine Learning to Discern Eruption in Noisy Environments: A Case Study using CO2-driven Cold-Water Geyser in Chimayo, New Mexico

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Oct 01, 2018
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Estimating Failure in Brittle Materials using Graph Theory

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Jul 30, 2018
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Reduced-Order Modeling through Machine Learning Approaches for Brittle Fracture Applications

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Jun 05, 2018
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Unsupervised Machine Learning Based on Non-Negative Tensor Factorization for Analyzing Reactive-Mixing

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May 16, 2018
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Sequential geophysical and flow inversion to characterize fracture networks in subsurface systems

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Jul 13, 2017
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Regression-based reduced-order models to predict transient thermal output for enhanced geothermal systems

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Jul 12, 2017
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