Awarded Projects

This project is concerned with the general problem of nano-pollutant removal. The final objective is to provide a reliable framework for the study of aggregation and removal of suspended solids by means of Nanobubbles.

Contact line phenomena entail multi-physics processes that operate at disparate scales, often posing formidable large-scale computing challenges.

DigiFarm is one of Norway's leading ag-tech startups, established in 2019 who's core focus is on developing deep neural network models in agriculture leveraging SatEO data.

Numerical weather prediction (NWP) plays a critical role for European societies to avoid weather-induced harm and improve benefits, e.g. in the agricultural sector or for renewable energies.

Thermodynamic modelling routinely guides the research and development (R&D) of new materials and the CALPHAD (CALculation of PHAse Diagrams) method is one of the approaches of choice because of its accuracy achieved with a modest computational effort.

This project aims to train a Medical-Vision Language Model (Med-VLM) that can process medical images and provide high-quality textual answers to medical questions in various languages.

Protein flexibility, motion and conformational transitions form the bedrock of biological processes.

Hybrid halide perovskites (PKs) are of immense importance due to their exceptional optoelectronic applications, including high-performance solar cells, optical quantum technologies, light-emitting devices, and photodetectors.

Emulsions, i.e. matching densities immiscible fluids, are extremely common in industrial and environmental applications. The interface separating the two phases modifies significantly the carrier phase, severely affecting the flow motion.