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ORCIDMaruti Kumar Mudunuru
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2020 – today
- 2024
[i20]K. Adhikari
, Maruti Kumar Mudunuru, K. B. Nakshatrala:
Closed-loop geothermal systems: Modeling and predictions. CoRR abs/2407.04716 (2024)- 2023
- [i19]N. V. Jagtap, Maruti Kumar Mudunuru, Kalyana B. Nakshatrala:
CoolPINNs: A Physics-informed Neural Network Modeling of Active Cooling in Vascular Systems. CoRR abs/2303.05300 (2023) - 2022
- [j6]Carl J. Talsma, Kurt C. Solander, Maruti Kumar Mudunuru, Brandon Crawford, Michelle R. Powell:
Frost prediction using machine learning and deep neural network models. Frontiers Artif. Intell. 5 (2022) - [i18]Maruti Kumar Mudunuru, Velimir V. Vesselinov, Bulbul Ahmmed:
GeoThermalCloud: Machine Learning for Geothermal Resource Exploration. CoRR abs/2210.08685 (2022) - 2021
- [j5]B. Ahmmed, Maruti Kumar Mudunuru, Satish Karra, S. C. James, Velimir V. Vesselinov:
A comparative study of machine learning models for predicting the state of reactive mixing. J. Comput. Phys. 432: 110147 (2021) - [i17]N. V. Jagtap, Maruti Kumar Mudunuru, K. B. Nakshatrala:
A deep learning modeling framework to capture mixing patterns in reactive-transport systems. CoRR abs/2101.04227 (2021) - [i16]Satish Karra, Bulbul Ahmmed, Maruti Kumar Mudunuru:
AdjointNet: Constraining machine learning models with physics-based codes. CoRR abs/2109.03956 (2021) - [i15]Maruti Kumar Mudunuru, K. Son, P. Jiang, X. Chen:
SWAT Watershed Model Calibration using Deep Learning. CoRR abs/2110.03097 (2021) - 2020
- [c1]Maruti Kumar Mudunuru, Daniel O'Malley, Shriram Srinivasan, Jeffrey D. Hyman, Matthew R. Sweeney, Luke Frash, Bill Carey, Michael R. Gross, Nathan J. Welch, Satish Karra, Velimir V. Vesselinov, Qinjun Kang, Hongwu Xu, Rajesh J. Pawar, Tim Carr, Liwei Li, George D. Guthrie, Hari S. Viswanathan:
Physics-Informed Machine Learning for Real-time Reservoir Management. AAAI Spring Symposium: MLPS 2020 - [i14]B. Ahmmed, Maruti Kumar Mudunuru, Satish Karra, S. C. James, Velimir V. Vesselinov:
A Comparative Study of Machine Learning Models for Predicting the State of Reactive Mixing. CoRR abs/2002.11511 (2020)
2010 – 2019
- 2019
- [j4]Velimir V. Vesselinov, Maruti Kumar Mudunuru, Satish Karra, Dan O'Malley, Boian S. Alexandrov:
Unsupervised machine learning based on non-negative tensor factorization for analyzing reactive-mixing. J. Comput. Phys. 395: 85-104 (2019) - [i13]Maruti Kumar Mudunuru, Satish Karra:
Physics-Informed Machine Learning Models for Predicting the Progress of Reactive-Mixing. CoRR abs/1908.10929 (2019) - [i12]B. Ahmmed, Maruti Kumar Mudunuru, Satish Karra, S. C. James, Hari S. Viswanathan, John A. Dunbar:
PFLOTRAN-SIP: A PFLOTRAN Module for Simulating Spectral-Induced Polarization of Electrical Impedance Data. CoRR abs/1909.02125 (2019) - 2018
- [i11]Velimir V. Vesselinov, Maruti Kumar Mudunuru, Satish Karra, Dan O'Malley, Boian S. Alexandrov:
Unsupervised Machine Learning Based on Non-Negative Tensor Factorization for Analyzing Reactive-Mixing. CoRR abs/1805.06454 (2018) - [i10]A. Hunter, Bryan A. Moore, Maruti Kumar Mudunuru, Viet T. Chau, Robyn L. Miller, Roselyne B. Tchoua, C. Nyshadham, Satish Karra, Dan O'Malley, Esteban Rougier, Hari S. Viswanathan, Gowri Srinivasan:
Reduced-Order Modeling through Machine Learning Approaches for Brittle Fracture Applications. CoRR abs/1806.01949 (2018) - [i9]Maruti Kumar Mudunuru, Nishant Panda, Satish Karra, Gowri Srinivasan, Viet T. Chau, Esteban Rougier, A. Hunter, Hari S. Viswanathan:
Estimating Failure in Brittle Materials using Graph Theory. CoRR abs/1807.11537 (2018) - [i8]B. Yuan, Y. J. Tan, Maruti Kumar Mudunuru, O. E. Marcillo, A. A. Delorey, P. M. Roberts, J. D. Webster, C. N. L. Gammans, Satish Karra, G. D. Guthrie, P. A. Johnson:
Using Machine Learning to Discern Eruption in Noisy Environments: A Case Study using CO2-driven Cold-Water Geyser in Chimayo, New Mexico. CoRR abs/1810.01488 (2018) - 2017
- [j3]Maruti Kumar Mudunuru, Satish Karra, Nataliia Makedonska, Ting Chen:
Sequential geophysical and flow inversion to characterize fracture networks in subsurface systems. Stat. Anal. Data Min. 10(5): 326-342 (2017) - 2016
- [j2]Maruti Kumar Mudunuru, K. B. Nakshatrala:
On enforcing maximum principles and achieving element-wise species balance for advection-diffusion-reaction equations under the finite element method. J. Comput. Phys. 305: 448-493 (2016) - [i7]Maruti Kumar Mudunuru, Satish Karra, Nataliia Makedonska, T. Chen:
Joint geophysical and flow inversion to characterize fracture networks in subsurface systems. CoRR abs/1606.04464 (2016) - [i6]Maruti Kumar Mudunuru, Satish Karra, D. R. Harp, G. D. Guthrie, Hari S. Viswanathan:
Interpolation-based reduced-order models to predict transient thermal output for enhanced geothermal systems. CoRR abs/1606.04567 (2016) - 2015
- [i5]Maruti Kumar Mudunuru, K. B. Nakshatrala:
On mesh restrictions to satisfy comparison principles, maximum principles, and the non-negative constraint: Recent developments and new results. CoRR abs/1502.06164 (2015) - [i4]Maruti Kumar Mudunuru, K. B. Nakshatrala:
On enforcing maximum principles and achieving element-wise species balance for advection-diffusion-reaction equations under the finite element method. CoRR abs/1506.06099 (2015) - [i3]C. Xu, Maruti Kumar Mudunuru, K. B. Nakshatrala:
Material degradation due to moisture and temperature. Part 1: Mathematical model, analysis, and analytical solutions. CoRR abs/1511.05538 (2015) - 2013
- [j1]K. B. Nakshatrala, Maruti Kumar Mudunuru, Albert J. Valocchi:
A numerical framework for diffusion-controlled bimolecular-reactive systems to enforce maximum principles and the non-negative constraint. J. Comput. Phys. 253: 278-307 (2013) - 2012
- [i2]K. B. Nakshatrala, Maruti Kumar Mudunuru, Albert J. Valocchi:
A numerical framework for diffusion-controlled bimolecular-reactive systems to enforce maximum principles and non-negative constraint. CoRR abs/1210.5290 (2012) - 2011
- [i1]Maruti Kumar Mudunuru, K. B. Nakshatrala:
A framework for coupled deformation-diffusion analysis with application to degradation/healing. CoRR abs/1106.2327 (2011)
Coauthor Index
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