CoolPINNs: A physics-informed neural network modeling of active cooling in vascular systems
Jagtap, Nimish V., Mudunuru, M.K., Nakshatrala, K.B.
Published in Applied mathematical modelling (01.10.2023)
Published in Applied mathematical modelling (01.10.2023)
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Journal Article
Physics-informed machine learning models for predicting the progress of reactive-mixing
Mudunuru, M.K., Karra, S.
Published in Computer methods in applied mechanics and engineering (01.02.2021)
Published in Computer methods in applied mechanics and engineering (01.02.2021)
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Journal Article
Deep learning to estimate permeability using geophysical data
Mudunuru, M.K., Cromwell, E.L.D., Wang, H., Chen, X.
Published in Advances in water resources (01.09.2022)
Published in Advances in water resources (01.09.2022)
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Journal Article
A comparative study of machine learning models for predicting the state of reactive mixing
Ahmmed, B., Mudunuru, M.K., Karra, S., James, S.C., Vesselinov, V.V.
Published in Journal of computational physics (01.05.2021)
Published in Journal of computational physics (01.05.2021)
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Journal Article
Discovering hidden geothermal signatures using non-negative matrix factorization with customized k-means clustering
Vesselinov, V.V., Ahmmed, B., Mudunuru, M.K., Pepin, J.D., Burns, E.R., Siler, D.L., Karra, S., Middleton, R.S.
Published in Geothermics (01.12.2022)
Published in Geothermics (01.12.2022)
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Journal Article
Regression-based reduced-order models to predict transient thermal output for enhanced geothermal systems
Mudunuru, M.K., Karra, S., Harp, D.R., Guthrie, G.D., Viswanathan, H.S.
Published in Geothermics (01.11.2017)
Published in Geothermics (01.11.2017)
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Journal Article