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Vincent Heuveline

Researcher at Interdisciplinary Center for Scientific Computing

Publications -  232
Citations -  2964

Vincent Heuveline is an academic researcher from Interdisciplinary Center for Scientific Computing. The author has contributed to research in topics: Finite element method & Multigrid method. The author has an hindex of 24, co-authored 227 publications receiving 2548 citations. Previous affiliations of Vincent Heuveline include Heidelberg University & French Institute for Research in Computer Science and Automation.

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Journal ArticleDOI

A posteriori error control for finite element approximations of elliptic eigenvalue problems

TL;DR: This work develops a new approach to a posteriori error estimation for Galerkin finite element approximations of symmetric and nonsymmetric elliptic eigenvalue problems and suggests local error indicators that are used in the mesh refinement process.
Journal ArticleDOI

Performance analysis of a SOFC under direct internal reforming conditions

TL;DR: In this paper, the performance analysis of a planar solid-oxide fuel cell (SOFC) under direct internal reforming conditions is presented, where the influence of air number, specific catalyst area, anode thickness, steam to carbon (s/c) ratio of the inlet fuel, and extend of pre-reforming on cell performance is analyzed.
Journal ArticleDOI

Three-phase boundary length in solid-oxide fuel cells: A mathematical model

TL;DR: In this paper, a mathematical model to calculate the volume specific three-phase boundary length in the porous composite electrodes of solid-oxide fuel cell is presented, exclusively based on geometrical considerations accounting for porosity, particle diameter, particle size distribution, and solids phase distribution.
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Duality-based adaptivity in the hp-finite element method

TL;DR: A duality-based a posteriori error analysis is developed for the conforming hp Galerkin finite element approximation of second-order elliptic problems and criteria are derived for the simultaneous adaptation of the mesh size h and the polynomial degree p.
Book ChapterDOI

Framework for Modular, Flexible and Efficient Solving the Cardiac Bidomain Equations Using PETSc

TL;DR: A new framework is presented that is suitable to solve the cardiac bidomain equation efficiently using the scientific computing library PETSc and is able to modularly combine different ionic channels and is flexible enough to include arbitrary heterogeneities in ionic or coupling channel density.