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The goal of the project is to use Artificial Intelligence (AI) technologies to precisely understand how a liquid behaves when deposited on a surface. Such understanding is key for research purposes or industrial applications.
The main objective of the project is to replicate human clinical trial data through advanced computational models, and replace the traditional data collected through ‘in vivo’ testing.
The goal of the project is to re-define collective electron motions and develop a novel light source that can be simultaneously bright and compact, known as quasi-particle.
The STREAM project (SponTaneous REArrangement of ice Motion in ice sheets) aims to investigate polar ice dynamics through the development of an innovative modelling system of ice flow.
The goal of the research project is to advance and optimise the use of spatially fractionated radiation therapy (SFRT).