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Awarded Projects (340)
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A computational method able to quantitatively predict spin relaxation in magnetic molecules and individuated the main physical ingredients that can potentially lead to room temperature spin operations
Despite the leading role of Direct Numerical Simulations (DNS) in wall turbulence research, several fundamental questions still stand.
The study aims to advance AI to enhance human performance and prevent errors across various sectors such as automotive, surgical, and manufacturing, where human errors lead to significant financial losses and safety concerns.
A recent model of terrestrial planet formation relies on a gas pressure maximum ring near Venus’ orbit that results in convergent migration of planetary embryos.
The project presents a comprehensive computational investigation into the aeroelastic response of airfoils subjected to gust encounters.
QCD is the fundamental quantum field theory that describes the strong interactions between particles. It is one of the basic building blocks of the Standard Model of Particle Physics and it is responsible for the formation of nuclear matter.
Drug cardiotoxicity is a major health issue due to the need to develop new safe and efficient drugs in a fast manner.
The urgent need for decarbonisation of the steel manufacturing sector has made hydrogen-based technologies an important prospective element of the envisioned low-carbon energy systems.
HyperCast AI addresses this challenge by developing and benchmarking state-of-the-art deep learning architectures to downscale global weather and subseasonal-to-seasonal (S2S) predictions to unprecedented 1km hourly resolution.
Atomic nuclei constitute more than 99% of visible matter. Thus, an accurate description of nuclear systems is central to our understanding of the universe.