ERC Starting Grant · 2025
Data-driven Simulations for Understanding Reconnection and GEomagnetism
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…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.