Project description
Computational fluid dynamics for a sustainable future
The growing need for increasingly complex and robust computing solutions across various sectors has led to higher energy requirements and rising costs. This makes them costly and inaccessible to many users. As such, computational fluid dynamics (CFD) has become increasingly necessary for several research fields, but is energy- and resource-intensive. With the support of the Marie Skłodowska-Curie Actions programme, the FairCFD project aims to make CFD more sustainable and eco-responsible while also improving its efficiency and encouraging sustainability across the field of high-performance computing. The project will train doctoral candidates in relevant fields while introducing new perspectives to improve the balance between sustainability and computational performance.
Objective
FairCFD aims to transform Computational Fluid Dynamics (CFD) by promoting eco-responsible and efficient numerical methods through a cutting-edge doctoral network. Fully aligned with the European Green Deal and MSCA Green Charter, it embeds sustainability into High-Performance Computing (HPC) while advancing methodologies to reduce environmental impact.
The project brings together 8 European universities, one national research center, and 6 industrial partners to train 15 Doctoral Candidates (DCs) in interdisciplinary approaches combining computational science, environmental engineering, and social sciences. Fourteen DCs will address industrially relevant challenges, advancing technological innovation, while one will provide an ethnographic perspective on the network’s practices.
The program emphasizes excellence in doctoral training through international secondments, interdisciplinary collaboration, and exposure to academic and industrial environments. This prepares DCs with the skills to meet evolving market needs while strengthening Europe’s innovation capacity and structuring doctoral research at the European level.
This aligns with market demands for experts capable of balancing computational performance and with sustainability in sectors like energy, transportation, and aerodynamics. By improving numerical efficiency, fostering frugality, and developing transparent metrics, FairCFD supports industries and research institutions in meeting future sustainability goals.
FairCFD will deliver innovative efficient simulation methods combining physics and data, metrics to quantify environmental costs, and open-source tools, ensuring wide dissemination and impact. The project positions Europe as a leader in eco-responsible scientific computing and sets a benchmark for sustainability-focused doctoral education.
Fields of science (EuroSciVoc)
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral Networks
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2024-DN-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
31029 Toulouse Cedex 4
France
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Participants (10)
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84084 Fisciano Sa
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91120 Palaiseau
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157 72 ATHINA
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CB2 1TN CAMBRIDGE
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10623 Berlin
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28040 Madrid
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20133 Milano
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100 44 Stockholm
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1140 Bruxelles / Brussel
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80333 Muenchen
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Partners (7)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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75007 Paris
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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50858 Köln
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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28906 Getafe (Madrid)
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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126 30 HAGERSTEN
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The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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221 86 Lund
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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31400 Toulouse
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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91190 Gif-Sur-Yvette
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