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The quest to reduce CO2 emissions in transport is driving research into flow control methods aimed at reducing the aerodynamic drag. Especially in air transportation, the roughly linear dependency of fuel consumption on aerodynamic resistance explains the need for innovative approaches.
This project investigates the intersection of large-scale vision models and video generation, aiming to unify spatial and temporal understanding within a single generative framework.
Determining atomic resolution structures of multiple functional states of protein would greatly aid the development of drugs to target these states and regulate biomolecular function.
2D materials can be dramatically different from those of their 3D parents, thus unveiling novel physical phenomena and creating new technological potentialities.
Catalysis is ubiquitous in chemical processes. The need for reducing the amount of critical raw materials has stimulated research in the field of Single Atom Catalysts (SACs).
Realizing the green transition requires not only materials with tailored functionalities, but also that we use less of these materials, which in turn requires that they can be designed to achieve a combination of high strength and toughness.
This proposal aims to disclose new properties of cosmic-ray transport in the Universe. A fast numerical method is used to describe the propagation of cosmic-rays in anisotropic magnetic turbulence.
Polymers are ubiquitous in our society thanks to their durability, low manufacturing costs, and ability to be formulated into diverse materials.
The main goal of the heavy ion program of many accelerator facilities (LHC, RHIC and the upcoming CBM/FAIR) is to create new phases of matter and explore their properties under extreme conditions.
This project develops cross-API agents that can complete real workflows spanning multiple software systems where actions must be coordinated end-to-end.