We study the numerical reconstruction problem in acousto-electric tomography of recovering
the conductivity distribution in a bounded domain from interior power density data. We …

In this work we develop a novel algorithm, termed as mixed least-squares deep neural
network (MLS-DNN), to recover an anisotropic conductivity tensor from the internal …

We use thermal noise induced currents to image the real and imaginary parts of the
conductivity of a body. Covariances of the thermal noise currents measured at a few …

In this paper, we propose and analyze a reconstruction algorithm for imaging an anisotropic
conductivity tensor in a second-order elliptic PDE with a nonzero Dirichlet boundary …

In this paper, we present a method to reconstruct the spatially varying conductivity tensor in
isotropic and orthotropic materials, involved in a two-dimensional transient anisotropic …

In acousto-electric tomography the goal is to reconstruct the electric conductivity in a domain
from electrostatic boundary measurements of corresponding currents and voltages, while …

We show that three sets of internal current densities are the right amount of data that give the
existence and the uniqueness at the same time in reconstructing an anisotropic conductivity …

We consider an electrically conductive compact two-dimensional Riemannian manifold with
smooth boundary. This setting defines a natural conductive Laplacian on the manifold and …

In acousto-electric tomography (AET) the goal is to reconstruct the electric conductivity in a
domain from electrostatic boundary measurements of corresponding currents and voltages …

Donsub Rim Page 1 Donsub Rim CONTACT INFORMATION Campus Box 1146 E-mail: rim@wustl.edu
One Brookings Drive Webpage: dsrim.github.io St. Louis, MO, 63130-4899, USA RESEARCH …