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| European Congress on Computational Methods in Applied Sciences and Engineering | |
|---|---|
| Name | European Congress on Computational Methods in Applied Sciences and Engineering |
| Abbreviation | ECCOMAS Congress |
| Discipline | Computational mechanics; Numerical analysis; Applied mathematics |
| Frequency | Quadrennial |
| First | 1992 |
| Organiser | European Community on Computational Methods in Applied Sciences (ECCOMAS) |
| Country | Various (Europe) |
European Congress on Computational Methods in Applied Sciences and Engineering The European Congress on Computational Methods in Applied Sciences and Engineering is a major quadrennial conference that gathers researchers in finite element method, boundary element method, computational fluid dynamics, computational electromagnetics, and multiscale modeling alongside practitioners from Siemens, Dassault Systèmes, Airbus, BMW, and Rolls-Royce. The congress historically attracts participants affiliated with institutions such as ETH Zurich, Imperial College London, TU Delft, Politecnico di Milano, and CNRS and interfaces with projects under frameworks like the Horizon 2020 programme and agencies including the European Research Council.
The congress was inaugurated to consolidate European activities following dialogues among societies such as the International Association for Computational Mechanics, European Community on Computational Methods in Applied Sciences (ECCOMAS), British Association for Computational Mechanics, and national groups linked to INRIA, SISSA, TU Munich, and KTH Royal Institute of Technology. Early editions featured keynote speakers from Stanford University, Massachusetts Institute of Technology, University of Cambridge, École Polytechnique, and University of California, Berkeley, reflecting cross-Atlantic exchange with conferences like the International Conference on Computational Methods and collaborations with meetings such as the International Congress of Mathematicians. Over successive editions ties deepened with organizations including European Space Agency, CERN, European Centre for Medium-Range Weather Forecasts, and industries represented at venues in Vienna, Barcelona, Lisbon, and Prague.
The congress covers methodologies and applications spanning finite element analysis, spectral methods, isogeometric analysis, meshless methods, boundary element method, reduced order modeling, and uncertainty quantification, with application domains such as aerodynamics studies by groups at NASA and ESA, structural dynamics projects tied to Siemens, biomechanics collaborations with Karolinska Institutet, and geophysics research linked to ETH Zurich. Sessions address numerical linear algebra developed at Max Planck Institute for Mathematics in the Sciences, parallel computing influenced by Intel and NVIDIA, machine learning intersections demonstrated by teams from Google DeepMind and Facebook AI Research, and software engineering practices reflected in projects like OpenFOAM, FEniCS Project, and deal.II.
The congress is organized under the aegis of ECCOMAS with governance inputs from national sections including Spanish Society of Computational Methods, German Association for Computational Mechanics, Italian Association of Computational Mechanics, and steering committees with representatives from European Research Council, Royal Society, Academia Europaea, International Centre for Theoretical Physics, and university stakeholders such as Sorbonne University and University of Oxford. Program committees recruit editors from journals like Computer Methods in Applied Mechanics and Engineering, International Journal for Numerical Methods in Engineering, SIAM Journal on Numerical Analysis, and Journal of Computational Physics and coordinate with working groups tied to COST actions, Marie Skłodowska-Curie networks, and standardization bodies such as ISO.
Each edition produces archival proceedings edited in collaboration with publishers including Springer, Elsevier, and Wiley, and special issues appear in periodicals like Applied Numerical Mathematics, Computational Mechanics, Engineering with Computers, and Archive of Applied Mechanics. Venue selections have included partnerships with host institutions such as University of Porto, Ludwig Maximilian University of Munich, University of Warsaw, Technical University of Denmark, and Helsinki University of Technology, with parallel symposia mirroring topics from International Conference on Spectral and High Order Methods and World Congress on Computational Mechanics.
The congress confers prizes and recognitions modeled after awards such as the Timoshenko Medal, Sylvester Medal, Crafoord Prize analogues, and career accolades drawing parallels to Euler Prize and Felix Klein Prize; specific congress awards honor best papers, young researcher contributions, and lifetime achievement in computational methods with selection committees including fellows from Royal Society, Academia Europaea, European Academy of Sciences, and recipients previously associated with ETH Zurich, Caltech, Princeton University, and Johns Hopkins University.
Participants range from doctoral candidates supported by Marie Skłodowska-Curie Actions and postdoctoral fellows from Max Planck Society to senior investigators from CNRS, CNR, Fraunhofer Society, and industry researchers from Arup, General Electric, Lockheed Martin, and Boeing. Workshops and tutorials engage software projects like PETSc, Trilinos, METIS, and ParMETIS while summer schools and doctoral forums reflect pedagogical models used by Mathematical Institute, Oxford and Centre for Mathematical Sciences, Cambridge.
The congress has shaped methodological advances feeding into standards adopted by ISO and influenced large-scale initiatives at CERN computing, European Space Agency mission simulations, Copernicus Programme modeling, and industrial design pipelines at Airbus and Renault. Proceedings and keynote lectures have been cited alongside seminal works from John von Neumann-inspired numerical analysis, algorithms linked to Donald Knuth styles, and contemporary influences from Yann LeCun-related machine learning research, driving cross-fertilization between academic research, open-source software like OpenFOAM and FEniCS Project, and commercialization efforts at companies such as ANSYS and COMSOL.
Category:Computational mechanics conferences