activity
20142024
most citedA Neural Network Warm-Start Approach for the Inverse Acoustic Obstacle Scattering Problem

21 citations · 57 across the 11 of their papers we have counts for

collaborators

12 papers

math.NA2024

On the construction of scattering matrices for irregular or elongated enclosures using Green's representation formula

Carlos Borges, Leslie Greengard, Michael O'Neil +1

Multiple scattering methods are widely used to reduce the computational complexity of acoustic or electromagnetic scattering problems when waves propagate through media containing…

math.NA2023

Reconstructing the shape and material parameters of dissipative obstacles using an impedance model

Travis Askham, Carlos Borges

In inverse scattering problems, a model that allows for the simultaneous recovery of both the domain shape and an impedance boundary condition covers a wide range of problems with…

math.NA2023

Random walks in frequency and the reconstruction of obstacles with cavities from multi-frequency data

Travis Askham, Carlos Borges, Jeremy Hoskins +1

Inverse obstacle scattering is the recovery of an obstacle boundary from the scattering data produced by incident waves. This shape recovery can be done by iteratively solving a PD…

math.NA2022★ 21 cited

A Neural Network Warm-Start Approach for the Inverse Acoustic Obstacle Scattering Problem

Mo Zhou, Jiequn Han, Manas Rachh +1

We consider the inverse acoustic obstacle problem for sound-soft star-shaped obstacles in two dimensions wherein the boundary of the obstacle is determined from measurements of the…

math.NA2022★ 5 cited

On the robustness of inverse scattering for penetrable, homogeneous objects with complicated boundary

Carlos Borges, Manas Rachh, Leslie Greengard

The acoustic inverse obstacle scattering problem consists of determining the shape of a domain from measurements of the scattered far field due to some set of incident fields (prob…

math.NA2021

Multifrequency inverse obstacle scattering with unknown impedance boundary conditions using recursive linearization

Carlos Borges, Manas Rachh

We consider the reconstruction of the shape and the impedance function of an obstacle from measurements of the scattered field at receivers outside the object. The data is assumed…