136 citations · 640 across the 30 of their papers we have counts for
5 papers · 1 filter
PFLOTRAN-SIP: A PFLOTRAN Module for Simulating Spectral-Induced Polarization of Electrical Impedance Data
B. Ahmmed, M. K. Mudunuru, S. Karra +3
Spectral induced polarization (SIP) is a non-intrusive geophysical method that is widely used to detect sulfide minerals, clay minerals, metallic objects, municipal wastes, hydroca…
Physics-Informed Machine Learning Models for Predicting the Progress of Reactive-Mixing
M. K. Mudunuru, S. Karra
This paper presents a physics-informed machine learning (ML) framework to construct reduced-order models (ROMs) for reactive-transport quantities of interest (QoIs) based on high-f…
Large-scale Inversion of Subsurface Flow Using Discrete Adjoint Method
Shu Wang, Satish Karra, Daniel O'Malley
Sensitivity analysis plays an important role in searching for constitutive parameters (e.g. permeability) subsurface flow simulations. The mathematics behind is to solve a dynamic…
Towards Solving the Navier-Stokes Equation on Quantum Computers
Navamita Ray, Tirtha Banerjee, Balasubramanya Nadiga +1
In this paper, we explore the suitability of upcoming novel computing technologies, in particular adiabatic annealing based quantum computers, to solve fluid dynamics problems that…
Multilevel Graph Partitioning for Three-Dimensional Discrete Fracture Network Flow Simulations
Hayato Ushijima-Mwesigwa, Jeffrey D. Hyman, Aric Hagberg +5
We present a topology-based method for mesh-partitioning in three-dimensional discrete fracture network (DFN) simulations that take advantage of the intrinsic multi-level nature of…