A framework for coupled deformation-diffusion analysis with application to degradation/healing - Maruti Kumar Mudunuru; K. B. Nakshatrala (CoRR, 2011)

A numerical framework for diffusion-controlled bimolecular-reactive systems to enforce maximum principles and the non-negative constraint. - K. B. Nakshatrala; Maruti Kumar Mudunuru; Albert J. Valocchi (J. Comput. Phys., 2013)

On mesh restrictions to satisfy comparison principles, maximum principles, and the non-negative constraint: Recent developments and new results. - Maruti Kumar Mudunuru; K. B. Nakshatrala (CoRR, 2015)

Material degradation due to moisture and temperature. Part 1: Mathematical model, analysis, and analytical solutions. - C. Xu; Maruti Kumar Mudunuru; K. B. Nakshatrala (CoRR, 2015)

Interpolation-based reduced-order models to predict transient thermal output for enhanced geothermal systems. - Maruti Kumar Mudunuru; Satish Karra; D. R. Harp; G. D. Guthrie; Hari S. Viswanathan (CoRR, 2016)

Joint geophysical and flow inversion to characterize fracture networks in subsurface systems. - Maruti Kumar Mudunuru; Satish Karra; Nataliia Makedonska; T. Chen (CoRR, 2016)

On enforcing maximum principles and achieving element-wise species balance for advection-diffusion-reaction equations under the finite element method. - Maruti Kumar Mudunuru; K. B. Nakshatrala (J. Comput. Phys., 2016)

Sequential geophysical and flow inversion to characterize fracture networks in subsurface systems. - Maruti Kumar Mudunuru; Satish Karra; Nataliia Makedonska; Ting Chen (Stat. Anal. Data Min., 2017)

Reduced-Order Modeling through Machine Learning Approaches for Brittle Fracture Applications. - 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 (CoRR, 2018)

Estimating Failure in Brittle Materials using Graph Theory. - Maruti Kumar Mudunuru; Nishant Panda; Satish Karra; Gowri Srinivasan; Viet T. Chau; Esteban Rougier; A. Hunter; Hari S. Viswanathan (CoRR, 2018)

Using Machine Learning to Discern Eruption in Noisy Environments: A Case Study using CO2-driven Cold-Water Geyser in Chimayo, New Mexico. - 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 (CoRR, 2018)

Physics-Informed Machine Learning Models for Predicting the Progress of Reactive-Mixing. - Maruti Kumar Mudunuru; Satish Karra (CoRR, 2019)

PFLOTRAN-SIP: A PFLOTRAN Module for Simulating Spectral-Induced Polarization of Electrical Impedance Data. - B. Ahmmed; Maruti Kumar Mudunuru; Satish Karra; S. C. James; Hari S. Viswanathan; John A. Dunbar (CoRR, 2019)

Unsupervised machine learning based on non-negative tensor factorization for analyzing reactive-mixing. - Velimir V. Vesselinov; Maruti Kumar Mudunuru; Satish Karra; Dan O'Malley; Boian S. Alexandrov (J. Comput. Phys., 2019)

Physics-Informed Machine Learning for Real-time Reservoir Management. - 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; et al. (AAAI Spring Symposium: MLPS, 2020)

A deep learning modeling framework to capture mixing patterns in reactive-transport systems. - N. V. Jagtap; Maruti Kumar Mudunuru; K. B. Nakshatrala (CoRR, 2021)

AdjointNet: Constraining machine learning models with physics-based codes. - Satish Karra; Bulbul Ahmmed; Maruti Kumar Mudunuru (CoRR, 2021)

SWAT Watershed Model Calibration using Deep Learning. - Maruti Kumar Mudunuru; K. Son; P. Jiang; X. Chen (CoRR, 2021)

A comparative study of machine learning models for predicting the state of reactive mixing. - B. Ahmmed; Maruti Kumar Mudunuru; Satish Karra; S. C. James; Velimir V. Vesselinov (J. Comput. Phys., 2021)

GeoThermalCloud: Machine Learning for Geothermal Resource Exploration. - Maruti Kumar Mudunuru; Velimir V. Vesselinov; Bulbul Ahmmed (CoRR, 2022)

Frost prediction using machine learning and deep neural network models. - Carl J. Talsma; Kurt C. Solander; Maruti Kumar Mudunuru; Brandon Crawford; Michelle R. Powell (Frontiers Artif. Intell., 2022)

CoolPINNs: A Physics-informed Neural Network Modeling of Active Cooling in Vascular Systems. - N. V. Jagtap; Maruti Kumar Mudunuru; Kalyana B. Nakshatrala (CoRR, 2023)

Closed-loop geothermal systems: Modeling and predictions. - K. Adhikari; Maruti Kumar Mudunuru; K. B. Nakshatrala (CoRR, 2024)

Reactive Transport Modeling with Physics-Informed Machine Learning for Critical Minerals Applications. - K. Adhikari; Md. Lal Mamud; Maruti Kumar Mudunuru; K. B. Nakshatrala (CoRR, 2025)