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NEw generation MEthods for numerical SImulationS

Project description

Numerical methods for next-generation partial differential equation simulators

Partial differential equation problems, such as the ones encountered in magnetohydrodynamics and geological flows, are challenging due to the presence of incomplete differential operators, nonlinear behaviours, hybrid-dimensional phenomena and moving interfaces. The ERC-funded NEMESIS project aims to create new numerical simulators to tackle these difficulties simultaneously. The research programme is divided into four interconnected clusters with specific goals, including developing a polytopal exterior calculus framework, designing the corresponding multi-level solvers and discrete functional analysis tools, and developing proof-of-concept applications in magnetohydrodynamics and geological flows. The results will lead to innovations and improvements in design and prediction capabilities in engineering and applied sciences.

Objective

Relevant partial differential equations (PDEs) problems of the 21st century, including those encountered in magnetohydrodynamics and geological flows, involve severe difficulties linked to: the presence of incomplete differential operators related to Hilbert complexes; nonlinear and hybrid-dimensional physical behaviors; embedded/moving interfaces. The goal of the NEMESIS project is to lay the groundwork for a novel generation of numerical simulators tackling all of the above difficulties at once. This will require the combination of skills and knowledge resulting from the synergy of the PIs, covering distinct and extremely technical fields of mathematics: numerical analysis, analysis of nonlinear PDEs, and scientific computing. The research program is structured into four tightly interconnected clusters, whose goals are: the development of Polytopal Exterior Calculus (PEC), a general theory of discrete Hilbert complexes on polytopal meshes; the design of innovative strategies to boost efficiency, embedded into a general abstract Multilevel Solvers Convergence Framework (MSCF); the extension of the above tools to challenging nonlinear and hybrid-dimensional problems through Discrete Functional Analysis (DFA) tools; the demonstration through proof-of-concept applications in magnetohydrodynamics (e.g. nuclear reactor models or aluminum smelting) and geological flows (e.g. flows of gas/liquid mixtures in underground reservoirs with fractures, as occurring in CO2 storage). This project will bring key advances in numerical analysis through the introduction of entirely novel paradigms such as the PEC and DFA, and in scientific computing through MSCF. The novel mathematical tools developed in the project will break long-standing barriers in engineering and applied sciences, and will be implemented in a practitioner-oriented open-source library that will boost design and prediction capabilities in these fields.

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Programme(s)

Topic(s)

Funding Scheme

HORIZON-ERC-SYG - HORIZON ERC Synergy Grants

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Call for proposal

(opens in new window) ERC-2023-SyG

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Host institution

UNIVERSITE DE MONTPELLIER
Net EU contribution
€ 2 379 506,00
Address
163 RUE AUGUSTE BROUSSONNET
34090 Montpellier
France
Region
Occitanie Languedoc-Roussillon Hérault
Activity type
Higher or Secondary Education Establishments
Links
Total cost
€ 2 379 506,00

Beneficiaries (4)