Maruti Kumar Mudunuru

Orcid: 0000-0002-2158-7723

According to our database1, Maruti Kumar Mudunuru authored at least 23 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Closed-loop geothermal systems: Modeling and predictions.
CoRR, 2024

2023
CoolPINNs: A Physics-informed Neural Network Modeling of Active Cooling in Vascular Systems.
CoRR, 2023

2022
Frost prediction using machine learning and deep neural network models.
Frontiers Artif. Intell., 2022

GeoThermalCloud: Machine Learning for Geothermal Resource Exploration.
CoRR, 2022

2021
A comparative study of machine learning models for predicting the state of reactive mixing.
J. Comput. Phys., 2021

SWAT Watershed Model Calibration using Deep Learning.
CoRR, 2021

AdjointNet: Constraining machine learning models with physics-based codes.
CoRR, 2021

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

2020
Physics-Informed Machine Learning for Real-time Reservoir Management.
Proceedings of the AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 23rd - to, 2020

2019
Unsupervised machine learning based on non-negative tensor factorization for analyzing reactive-mixing.
J. Comput. Phys., 2019

PFLOTRAN-SIP: A PFLOTRAN Module for Simulating Spectral-Induced Polarization of Electrical Impedance Data.
CoRR, 2019

Physics-Informed Machine Learning Models for Predicting the Progress of Reactive-Mixing.
CoRR, 2019

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

Estimating Failure in Brittle Materials using Graph Theory.
CoRR, 2018

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

2017
Sequential geophysical and flow inversion to characterize fracture networks in subsurface systems.
Stat. Anal. Data Min., 2017

2016
On enforcing maximum principles and achieving element-wise species balance for advection-diffusion-reaction equations under the finite element method.
J. Comput. Phys., 2016

Joint geophysical and flow inversion to characterize fracture networks in subsurface systems.
CoRR, 2016

Interpolation-based reduced-order models to predict transient thermal output for enhanced geothermal systems.
CoRR, 2016

2015
Material degradation due to moisture and temperature. Part 1: Mathematical model, analysis, and analytical solutions.
CoRR, 2015

On mesh restrictions to satisfy comparison principles, maximum principles, and the non-negative constraint: Recent developments and new results.
CoRR, 2015

2013
A numerical framework for diffusion-controlled bimolecular-reactive systems to enforce maximum principles and the non-negative constraint.
J. Comput. Phys., 2013

2011
A framework for coupled deformation-diffusion analysis with application to degradation/healing
CoRR, 2011


  Loading...