3 papers
math.NA2026
A Machine Learning-Enhanced Hopf-Cole Formulation for Nonlinear Gas Flow in Porous Media
V. S. Maduri, K. B. Nakshatrala
Accurate modeling of gas flow through porous media is critical for many technological applications, including reservoir performance prediction, carbon capture and sequestration, an…
math.NA2024
Shapley values and machine learning to characterize metamaterials for seismic applications
D. Oniz, Y. L. Mo, K. B. Nakshatrala
Given the damages from earthquakes, seismic isolation of critical infrastructure is vital to mitigate losses due to seismic events. A promising approach for seismic isolation syste…
cs.CE2024
Closed-loop geothermal systems: Modeling and predictions
K. Adhikari, M. K. Mudunuru, K. B. Nakshatrala
Geothermal energy is a sustainable baseload source recognized for its ability to provide clean energy on a large scale. Advanced Geothermal Systems (AGS) -- offer promising prototy…