Objective
Understanding and predicting energization of particles in space plasmas, e.g. during sub-storms in magnetosphere, is a profound scientific challenge which is hampered by the complex multi-scale interactions in plasma. At present there is no global model which reliably captures the microscopic effects of energetic electrons which participate in matter and energy transfer in the Earth's space environment. These electrons may precipitate and present hazard for our space born assets such as satellites and space missions. The goal is to build a global physics-based magneto-fluid model of plasma with AI component that represents such microscopic physics via machine learning algorithms trained on particle in cell (PIC) simulations. By introducing physics-informed data-driven models, we aim to bridge the gap between local and global scales, offering unprecedented accuracy in simulating space weather phenomena. Such data-driven models will allow us to better understand and predict the evolution of magnetic storms crucial for safeguarding modern technological infrastructure.
What makes this goal now possible in this interdisciplinary project are the advances in scientific machine learning in meteorology which the PI plans to bringing from environmental data science to plasma physics as well as the PI's current involvement in energy-conserving Particle in Cell simulations and previous experience in kinetic and magneto-fluid modelling. These innovations will lead to physics-informed data driven model that will be validated with space mission observations. If successful, we will have multi-scale multi-fluid models of plasma that will uncover magnetospheric loading by solar wind and the mechanisms behind acceleration of particles during magnetic sub-storms.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences earth and related environmental sciences atmospheric sciences meteorology
- engineering and technology mechanical engineering vehicle engineering aerospace engineering satellite technology
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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.1.1 - European Research Council (ERC)
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-ERC - HORIZON ERC Grants
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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) ERC-2025-STG
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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.
3000 LEUVEN
Belgium
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.