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M. K. Mudunuru

CoolPINNs: A Physics-informed Neural Network Modeling of Active Cooling in Vascular Systems

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Mar 09, 2023
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Deep Learning to Estimate Permeability using Geophysical Data

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Oct 08, 2021
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SWAT Watershed Model Calibration using Deep Learning

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Oct 06, 2021
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A deep learning modeling framework to capture mixing patterns in reactive-transport systems

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Jan 11, 2021
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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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