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Awarded Projects (200)
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It is widely acknowledged [SKA14] that the prediction of turbulent flow features in the presence of separation is one of the most significant challenges in fluid dynamics.
Large language models (LLMs) are at the forefront of enormous progress in natural language processing and AI, as witnessed by models like OpenAI's ChatGPT.
Complex fluids which simultaneously have elastic and plastic behaviors are ubiquitous in every day life (ketchup, chocolate), nature (fluids and materials in the human body), andvarious industries such as food, process, chemical and pharmaceutical.
Two-dimensional (2D) materials can assume novel, exotic condensed matter phases highly relevant for possible breakthroughs in nano- and opto- electronics, such as ultrafast (photo)transistors and detectors.
The project is a three year one aiming at studying the effect of temperature, pressure and ultrafast light absorption and their implication for the structural properties in materials displaying giant quantum-anharmonic effects.
Particle accelerators and light sources are main tools for discovering the fundamental constituents of our universe, the inner workings of biological organisms, and the response of matter inside stars and planets.
Particle accelerators and light sources are main tools for discovering the fundamental constituents of our universe, the inner workings of biological organisms, and the response of matter inside stars and planets.
Most visible matter in the universe exists as plasma. Extreme plasmas are also pervasive in the most exotic astrophysical objects, such as neutron stars, black holes, jets and AGNs.
The strong interaction (QCD) has a rich phase structure in the temperature, T , chemical potential, μ,plane.
Turbulence is one fundamental problem of classical physics that has eluded a satisfactory description by engineering models.