44 citations · 85 across the 27 of their papers we have counts for
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Large Time Step and DC Stable TD-EFIE Discretized with Implicit Runge-Kutta Methods
Alexandre Dély, Francesco P. Andriulli, Kristof Cools
The Time Domain-Electric Field Integral Equation (TD-EFIE) and its differentiated version are widely used to simulate the transient scattering of a time dependent electromagnetic f…
A New Preconditioner for the EFIE Based on Primal and Dual Graph Laplacian Spectral Filters
Lyes Rahmouni, Francesco P. Andriulli
The Electric Field Integral Equation (EFIE) is notorious for its ill-conditioning both in frequency and h-refinement. Several techniques exist for fixing the equation conditioning…
Diffusion MRI Consistent Wire Models for Efficient Solutions of the Anisotropic Forward Problem in Electroencephalography
Maxime Y. Monin, Lyes Rahmouni, Francesco P. Andriulli
The surface Boundary Element Method (BEM) is one of the most commonly employed formulations to solve the forward problem in electroencephalography, but the applicability of its cla…
A Quasi-Helmholtz Projector Stabilized Full Wave Solver Encompassing the Eddy Current Regime
Tiffany L. Chhim, John E. Ortiz, Lyes Rahmouni +2
Despite its several qualities, the Poggio-Miller-Chang-Harrington-Wu-Tsai (PMCHWT) formulation for simulating scattering by dielectric media suffers from numerical instabilities an…
On Preconditioning Electromagnetic Integral Equations in the High Frequency Regime via Helmholtz Operators and quasi-Helmholtz Projectors
Alexandre Dély, Adrien Merlini, Simon B. Adrian +1
Fast and accurate resolution of electromagnetic problems via the \ac{BEM} is oftentimes challenged by conditioning issues occurring in three distinct regimes: (i) when the frequenc…
A Hybrid Volume-Surface-Wire Integral Equation for the Anisotropic Forward Problem in Electroencephalography
Maxime Y. Monin, Lyes Rahmouni, Adrien Merlini +1
Solving the electroencephalography (EEG) forward problem is a fundamental step in a wide range of applications including biomedical imaging techniques based on inverse source local…