Three DTU researchers receive EUR 6 million from the European Research Council.
Thursday 23 November 2023
Freja E. Klippmann
The European Research Council Consolidator Grant 2023 is given to 308 researchers from all over the world. Three of the grants are issued to researchers at DTU.
Senior Researcher João Mendonça, DTU Space, receives EUR 2 million for the project ”Building Virtual Worlds that Follow Universal Laws of Physics”.
With the project, João Mendonça will lead the development of the first planet climate simulator, Foundation, to improve the current models that struggle to simulate diverse planetary climates. By creating a 3D model based on universal physics, he aims to address gaps in understanding complex phenomena on planets like Jupiter, Venus, Titan and exoplanets (planets that orbit other stars). The new model will also enhance climate predictions on Earth, including extreme weather events that can affect millions of lives.
Senior Researcher Victoria Antoci, DTU Space, receives EUR 2 million for the project ”The Quest for MAGNetIc Fields in A and F TYpe Stars”.
With the project, Victoria Antoci seeks to unravel the mysteries of magnetic fields in celestial bodies, focusing on stars slightly more massive than the Sun (so-called A&F stars). Using asteroseismology and studying stellar spots, the project aims to detect internal and surface magnetic fields, leveraging data from space missions like Kepler, TESS, and Gaia. The goal is to understand the origin and evolution of these magnetic fields, particularly in A&F stars, whose existence remains uncertain.
Associate Professor Ziwei Ouyang, DTU Electro, receives EUR 2 million for the project ”Advanced Magnetic Components for High-Efficiency and High-Power-Density Converters”.
The project aims to overcome the limitations of large magnetic components in low-frequency power converters (100-500 kHz) by addressing challenges in the 1 MHz to 10 MHz frequency range. The project aims to create efficient, integrated magnetic components for voltage regulator modules (VRM) in high-performance computing systems, with a target of a VRM converter that is 50 times smaller and 5% more efficient than current products.