Publications

Adaptive Refinement for Eigenvalue Problems Based on an Associated Source Problem

Stefano Giani, Jeffrey Ovall, Gabriel Pinochet-Soto

Journal of Scientific Computing, 2025 , Vol. 105 , No. 32

Abstract

We introduce an adaptive finite element scheme for the efficient approximation of a (large) collection of eigenpairs of selfadjoint elliptic operators in which the adaptive refinement is driven by the solution of a single source problem --the so-called landscape problem for the operator-- instead of refining based on the computed eigenpairs. Some theoretical justification for the approach is provided, and extensive empirical results indicate that it can provide an attractive alternative to standard adaptive schemes, particularly in the hp-adaptive environment.

Adaptive resolution of fine scales in modes of microstructured optical fibers.

Jay Gopalakrishnan, Jacob Grosek, Gabriel Pinochet-Soto, Pieter Vandenberge

SIAM Journal on Scientific Computing, 2025 , Vol. 47 , No. 1 , pp. B108-B130

Abstract

An adaptive algorithm for computing eigenmodes and propagation constants of optical fibers is proposed. The algorithm is built using a dual-weighted residual error estimator. The residuals are based on the eigensystem for leaky hybrid modes obtained from Maxwell equations truncated to a finite domain after a transformation by a perfectly matched layer. The adaptive algorithm is then applied to compute practically interesting modes for multiple fiber microstructures. Emerging microstructured optical fibers are characterized by complex geometrical features in their transverse cross-section. Their leaky modes, useful for confining and propagating light in their cores, often exhibit fine scale features. The adaptive algorithm automatically captures these features without any expert input. The results also show that confinement losses of these modes are captured accurately on the adaptively found meshes.

Semi-analytical solutions for the problem of the electric potential set in a borehole with a highly conductive casing

Aralar Erdozain, Ignacio Muga, Victor Péron, Gabriel Pinochet

GEM - International Journal on Geomathematics, 2022 , Vol. 13 , No. 6 , pp. 6

Abstract

Highly conductive thin casings pose a great challenge in the numerical simulation of well-logging instruments. Witty asymptotic models may replace the presence of casings by impedance transmission conditions in those numerical simulations. The accuracy of such numerical schemes can be tested against benchmark solutions computed semi-analytically in simple geometrical configurations. This paper provides a general approach to construct those benchmark solutions for three different models: one reference model that indeed considers the presence of the casing; one asymptotic model that avoids computations in the casing domain; and one asymptotic model that reduces the presence of the casing to an interface. Our technique uses a Fourier representation of the solutions, where special care has been taken in the analytical integration of singularities to avoid numerical instabilities.